Let us discuss the best ways to build a seamless social media approval process.

Define Your Social Media Goals

Before diving into the approval process, it’s essential to have a clear understanding of your social media goals. Are you trying to increase brand awareness, generate leads, or drive sales? Depending on your objectives, the tone, style, and content of your social media posts will vary. Defining your social media goals will help you create a consistent messaging strategy. Ensure that your posts align with your overall marketing strategy. To achieve your goal faster you can choose the shortcut and real Instagram followers for quick growth.

Identify Your Social Media Team

Identify the key stakeholders involved in your social media approval process. Depending on the size of your organization, you may have multiple teams responsible for social media, such as marketing, sales, or customer service. It’s essential to have a designated point of contact for each team to streamline the approval process. This person should be responsible for reviewing and approving posts for their respective teams.

Define Your Social Media Approval Process

Once you have identified your social media team, it’s time to define your approval process. Depending on your organization’s size and complexity, your approval process can be simple or complex. Here’s a sample approval process that can work for most organizations:

Draft the Social Media Post – The first step in the social media approval process is to draft the social media post. This involves creating the copy, selecting images or videos, and adding any necessary links or hashtags. When drafting the social media post, it’s important to keep in mind the overall social media strategy and goals. What message are you trying to convey? Who is your target audience? What platform are you posting on? These questions will help guide the content creation process and ensure that the post is aligned with the overall social media strategy.

 Initial Review – Once the social media posts have been drafted and reviewed by team members, the designated point of contact for the social media team should conduct a final review of the post before it is scheduled for posting. This final review is critical to ensuring that the post is accurate, compliant, and consistent with the brand’s messaging and tone.

 Approval – Once the initial review is complete, the designated point of contact should submit the post for approval. The post should be reviewed and approved by all stakeholders involved in the process, including legal, compliance, and senior management.

Scheduling – Once the posts have been approved, they need to be scheduled for publishing on the appropriate social media platforms at the right time. Most social media management tools, including Hootsuite, Sprout Social, and Buffer, offer scheduling features. That enables you to schedule your social media posts in advance. You can specify the exact date and time that you want your posts to be published on each social media platform. Which can help ensure that your content is published at the most optimal times for your audience.

Use Approval Tools

Using social media approval tools can streamline the approval process and help you avoid costly errors. Here are some popular approval tools you can consider:

Hootsuite – Hootsuite is a social media management tool that allows you to schedule, publish, and manage social media posts across multiple platforms. Hootsuite also offers a built-in approval workflow, allowing you to set up an approval process for your social media posts.

Buffer – Buffer is a popular social media management tool that enables businesses and individuals to manage multiple social media accounts from a single dashboard. One of the key features of Buffer is its approval workflow feature, which allows team members to collaborate on social media posts before they publish.

Trello – Trello is a project management tool that allows you to manage tasks, workflows, and processes. You can create a Trello board to track the status of your social media posts. Assign tasks to team members, and set up notifications for approvals.

Train Your Team

Training your team on the social media approval process is critical to ensuring compliance and consistency. Provide your team with training materials, including best practices, compliance guidelines, and templates. It’s also a good idea to conduct regular training sessions to ensure that your team is up-to-date on the latest social media trends and platforms. Besides that, you can make a good reputation by achieving likes quicker on your posts. For that you can Buy Cheap Instagram Likes from a reputable source.

Conclusion

Having a seamless social media approval process is crucial to ensuring that your social media posts are consistent, compliant, and effective. By defining your social media goals, identifying the key stakeholders, and implementing a robust approval process. You can ensure that your social media posts are always on brand, on message, and on schedule. There are a variety of tools available. That can help streamline your social media approval process, including Hootsuite, Sprout Social, and Buffer. These tools enable you to create, review, and approve social media posts from a centralized dashboard, ensuring that your team is always on the same page.

Ultimately, a seamless social media approval process requires a combination of clear communication, defined roles and responsibilities, and the right tools and technologies. By implementing these best practices, you can streamline your social media workflow and drive better results from your social media marketing efforts.

The post How to Build a Seamless Social Media Approval Process appeared first on Tech Research Online.

SEO plugins help boost SEO efforts while augmenting the site’s security, boosting its loading speed,  and its overall performance. Since there are plenty of WordPress SEO plugins available, you must know how to choose the right one that will best suit your requirements.

The right SEO plugin can help achieve all the ranking and optimization requirements, while the wrong ones can negatively impact the site’s effectiveness and performance. Therefore, before we proceed with our list of best plugins, let us see why you require an SEO plugin for your WordPress website in the first place.

Why You Need a WordPress SEO Plugin?

To begin with, SEO plugins can greatly boost your site’s optimization and ranking. Getting started with a reliable hosting service to host your WordPress website is a good idea, but optimizing it for the search engine is imperative. This is because a majority of the people barely move beyond the first page of the search results. In such cases, the key is driving relevant and organic traffic that will ultimately drive conversions.

Additionally, you must be attentive towards other aspects such as keywords, understanding the search intent, optimizing images as well as your content’s readability. This is where the right WordPress SEO plugins can be helpful.

To summarize, SEO plugins can help you with the following aspects:

• Improve and enhance SEO practices
• Optimize your content
• Find pages and posts with high potential
• Recognize your site’s structure
• Fix and resolve broken links
• Conduct comprehensive SEO audits and competitor analysis

Best WordPress SEO Plugins for Your Website

Now that you know why you require plugins for your website, let us proceed with our list of the 10 best WordPress SEO plugins that you can get started with.

10. MonsterInsights (Best WordPress Plugin for Google Analytics)

MonsterInsights is one of the highly preferred WordPress SEO plugins. It allows easy installation of Google Analytics. You can also see useful information about your visitors inside your WP dashboard. The plugin’s ‘Audience Report’ shows you the country/region, interests, devices used, age, gender, and many more about your visitors.

MonsterInsights is one of the best WordPress SEO Plugins due to the following:

• Easy-to-read analytics on the WordPress dashboard
• Google Search Console connection to track the website’s top keywords
• Analyze eCommerce SEO performance by tracking popular products and their performance
• Reports on mobile traffic with Google AMP
• Tracking top outbound links from the website to see the ones with most clicks

9. Rankie (Best for Rank Tracking)

Rankie lets you track WordPress rankings on Google by keeping a close watch on each keyword position.. It updates rank positions of keywords daily and generates powerful reports. It also incorporates a powerful research tool that generates valuable keyword lists which people are already googling.

Rankie is one of the best WordPress SEO Plugins due to the following:

• Tracks WordPress ranking on Google
• Generates ranking reports
• Integrates a powerful keyword research tool that generates a huge list of valuable target keywords
• Autotracks searched keywords
• Enables 4 different methods for locating positions
• Generates daily report emails with each position transition
• Provides unique ranking records and generates ranking graphs for each tracked keyword

8. WordPress Internal Link Juicer (Best for Site’s Internal Link Structure)

Internal linking is one of the crucial aspects of SEO. On that note, the Internal Link Juicer plugin is designed in a way that helps optimize the website’s internal link structure. It automatically links phrases and keywords in the comments and posts with corresponding pages, categories, tags and posts on your blogs.

Internal Link Juicer is one of the best WordPress SEO plugins because:

• It conveniently helps create internal links while avoiding SEO malpractices that can result in penalties.
• It sets anchor text keywords for each post in the library
• It automatically adds internal links to each post based on set keywords
• It configures the number of links that can be added to each post and the content it can and should not link to
• It also provides access to reports of the internal links

7. WP Super Cache (Best for Improving Web Page Load Speed)

Besides content and optimization, the loading speed of your website’s pages is crucial in determining its ranking. This is where the WP Super Cache comes into play. The plugin helps improve the web page speed across your website. You will only have to install it and turn on the caching features, and Super Cache will take care of the rest.

Super Cache is one of the best WordPress SEO plugins as it:

• enables test loading speed across multiple web pages on the website
• leverages tools like GTMetrix or Pingdom Tools
• enables the website to load faster while using fewer server resources
• provides regular updates since it is a free and open source product (from Automattic)
• is easy to comprehend and activate (especially for beginners)
• collects and clears out old files from the cache to prevent the caching process from slowing down the site in the process

6. SEMRush (Best for Beginners)

SEMRush is one of the highly preferred WordPress SEO plugins. It has a simple interface and is easier to work with for beginners. It focuses on SEO, paid traffic, social media, and content. You can find most of the information in the technical SEO audit.

SEMRush is one of the best WordPress SEO plugins due to the following reasons:

• Its analytic section compares paid traffic and organic traffic
• The plugin covers most SEO tools that are highly required for small to mid-sized businesses
• It conducts a strong competitor analysis.
• The plugin works best for running reports and analytics for multiple clients

5. Rankmath (Best for Website Content Optimization)

Rank Math helps optimize your website content. It provides real-time insights into your posts without you having to leave the WordPress dashboard. In fact, you can also optimize meta descriptions and titles with a snippet preview.

Rank Math stands as one of the best WordPress SEO plugins due to the following features:

• The plugin has been optimized for better speed so as to not affect the website’s loading speed.
• With its IndexNow integration, it quickly alerts search engines to any changes made on content
• Its optimized process helps Google crawl your content swiftly.
• It offers additional SEO features such as redirections, 404 monitoring and SEO for WooCommerce sites.

4. WP Rocket (Best for Ranking Higher with Better Speed)

As a matter of fact, speed is one of the few ranking factors that WordPress SEO plugins do not typically address. However, as speed is one of the major ranking factors, you must ensure doing everything to keep your site fast.

WP Rocket is a cache plugging (not an SEO plugin). It gives a performance boost to your pages that ultimately helps with ranking. When you install the plugin, it will run on your site immediately while optimizing your files, media and databases to help your site load as fast as possible.

WP Rocket is one of the best WordPress SEO plugins due to the following reasons:

• Compatibility with options such as Yoast, which gives increased site without any plugin conflicts
• Helps build a complex interactive website
• Top-notch customer support

3. Redirection

One of the most important aspects of modern SEO is redirections. Here, Redirection allows you to implement 301 redirects using a simple URL manager. The plugin is very helpful because without it, implementing redirects becomes tedious which requires modifying the .htaccess file and adding manual entries for each new redirection.

Redirection is one of the best WordPress SEO plugins as it

• makes it easy to set up 301 redirects without having to add them manually
• includes a conditional redirection system that supports various parameters like login status, page type, etc.
• logs every redirect that occurs on website
• helps track 404 errors in WordPress
• enables changing website’s permalink structure

2. Yoast SEO (Best Free SEO Plugin for WordPress)

Yoast SEO is the most downloaded and one of the highly preferred WordPress SEO plugins among all. The plugin is available in two versions. The free version is helpful for learning more about SEO and the premium version is helpful for businesses to elevate their content game.

Following are some reasons why Yoast SEO is one of the best WordPress SEO plugins:

• Helps analyze how you have optimized keywords on pages and posts
• Enables adjusting the meta description and title to make it more appealing and keyword-rich
• Offers a readability check
• Detects duplicate content in your page or post
• Updates every two weeks
• The premium plugin offers a redirect manager with free support, content insights and an ad-free interface on the backend

1. Google Search Console

Google Search Console is the best WordPress SEO plugin you can use for your website. It is a free tool by Google that helps website owners and webmasters monitor and maintain their site’s presence in the search results. With this plugin, you can learn important insights about your search result rankings.

Features that make Google Search Console the best WordPress SEO plugin are:

• Alerts when Google is unable to crawl and index pages on your website
• Provide helpful tips on how to fix crawl errors
• Shows ranking keywords of your website, including anchor texts, average position, impressions and many more.
• Easy to connect with your WordPress website

This concludes our list of the best WordPress SEO plugins to use for your new website. Before you opt for any of the above-listed plugins, study your requirements to better understand them. This will help you choose the best SEO plugin that will fulfill your SEO, content, and ranking-related needs.

The post The 10 Best WordPress SEO Plugins for Your New Website appeared first on Tech Research Online.

There are a lot of keyword research tools out there, and it can be tough to choose which ones are worth your time. Fortunately, we’ve done the work for you by compiling a list of the top 10 free social media keyword search tools that you can use to find trending keywords.

WordStream

You can use WordStream to research keywords and keyword streams and refine your searches by industry or country. Search results show search volume, competition, and the bid range for each keyword.

There are a few ways you can use WordStream:

WordStream is quite simple to use and requires no learning curve. You need to know which search terms, keyword phrases, or competitor keywords to look up. Once you type them in the search bar, WordStream will give you results within seconds.

It’s that simple.

Wordstream has a google ads performance grader, which scores your advertising efforts giving you insight into any wasted spending and areas you need to optimize.

The one downside of this tool is that it has limited categories to narrow down your search and target specific audiences. You can only search by industry and country.

Google Keyword Planner

Google Keyword Planner is a must-have tool in your arsenal if you are running google ads. It allows you to see the number of monthly searches for your selected keywords and the average CPC (cost per click). You can search for keywords or upload existing keywords or plans shared by others.

There are several advantages to using Google’s keyword planner.

First, it’s free.

Second, it will give you a quick idea of how many people are searching for your chosen keywords (search volume).

Third, it will show you the average CPC for each keyword, so you can decide whether or not it’s worth spending money on that particular ad. And finally, it may help you discover some new keywords that you haven’t optimized yet.

You can then use this information to optimize your ads and increase your chances of attracting visitors looking for those specific keywords.

Wordtracker

Wordtracker is a keyword research tool that you can use to collect and analyze data about keywords, search volume, organic searches, paid search traffic, competition, and other factors related to keywords. It does this by using various algorithms to find keywords that are most relevant to a given website or product.

Wordtracker gives detailed keyword research results. It shows you the popularity of specific keywords. It also shows you how many people search for them on Google, how often they show up in organic searches, and how much traffic they’re getting from paid search ads. This way, you can get an idea of what kind of content is most likely to rank well on Google and optimize your site accordingly.

Most importantly, it shows you the number of web pages that have optimized their title tags and backlink text with that keyword.

Ahrefs

Ahrefs has a free keyword generator that searches for keywords in Google, Bing, YouTube, and Amazon. It searches through billions of queries to give you relevant keywords over any period you specify. In addition to searching for long-tail keywords, Ahrefs free keyword generator contains:

Highly detailed competitor data: Know which keywords your competitors are ranking for and understand the size of their audience. You can also see how they spend on paid advertising, social media, and content marketing.

Keyword analysis tool: Get a detailed breakdown of your top keywords by adding additional filters to show only the most popular keywords and those that have recently gained or lost traffic. It’s also possible to export this data into Excel for further analysis.

Search traffic history: See how your site’s traffic has changed over time and identify any search terms driving the most traffic. Keep in mind that search trends can change quickly, so any data you collect today may not be valid six months from now.

Awesome bar graphs: See how your site’s visitors perform across all keyword buckets with interactive bar graphs. These visual representations make it easy to spot key trends in search engine rankings and traffic sources over time.

Moz Keyword Explorer

Moz Keyword Explorer is free. Like most other tools, you can enter your search term in a search text box. The only difference is that you can only access your search results once you create an account (by sharing your details, name, and email address) and company details.

In addition, you can only perform up to 10 keyword searches per month. This is hardly enough for implementing an aggressive keyword strategy.

If you are okay with this low search limit, you can enjoy some of Keyword explorer’s best features, including:

• Performing searches in question format
• Analyze SERP results
• Predict expected keyword search volume
• Export data
• Get a score on how difficult it is for a word to rank
• Discover competitor keywords

QuestionDB

QuestionDB is more like an idea-generation tool that uses broad keywords to show you search questions visitors ask for that keyword term.

To use question DB, you type in a relevant broad keyword. For instance, sneakers then hit ‘generate.’ Once you get a list of results, please go through it to get ideas of different search terms.

You can then conduct new searches for each of those terms to get specific questions.

It’s a bit of a process, but the whole idea is to generate relevant topics to write content about and share. This can increase the relevance of your discussions on social media to make them engaging.

Merchant Words

Merchant words is an excellent tool for Amazon eCommerce sellers. This tool relies on billions of data points to give you results on product niches, competition, and search traffic. It offers some of its features for free and requires a paid subscription to upgrade.

One of the best things about Merchant words is that it gives detailed reports about every search term. For every report, you can select an action to analyze a page or find related key phrases. Analyze a page option shows a results summary on a different page for free. Finding related terms is, however, not free.

Merchant words have a collection of tools, including:

• Digital shelf. This tool shows you your product’s ranking and gives strategies for better ranking.
• Keyword multiplier. You can use this tool to get ideas for alternative keywords.
• Page 1 products. Use this tool to discover products that rank on page of Amazon.
• Market insights. This tool provides insights into competitor activity and product ranking.
• Emerging trends. Stay ahead of your competitors by using this tool to find trends in new keywords.
• Classic search. Know what customers want by looking into actual searches done on Amazon.
• Keyword Advisor. If you are pressed for time or don’t know where to start with your keyword searching, Merchant words can do all the work for you.
• Listing advisor. Get experts to write your product descriptions and optimize your listings.
• ASIN plus. Use this tool to find long-tail keywords related to your product.

Keysearch

Keysearch is a web-based keyword research tool. It isn’t exactly free, but it offers a generous 1-month free trial, an excellent package for any beginner content marketer.

With the Keysearch keyword tool, you can find keywords relevant to your niche and keywords that are also profitable. Just enter the main keyword, and Keysearch will give you hundreds of keywords with data on volume and cost per click.

You may also use related keywords, Google Suggest, Amazon Suggest, YouTube Suggest finders, and a massive database of keywords to search for related keywords.

You can enter your competitor’s URL and have it search for keywords that your competitors are ranking for, giving you a wide range of possibilities for finding long-tail keywords. It also has a YouTube research area and advanced filtering options.

Suppose you are looking for a simple keyword search tool without all the analytics functions. In this case, consider using keyword.guru. This tool is fast, and it gives long lists of keyword results from Google, Yahoo, Bing, Google, eBay, Amazon, and YouTube. It searches broad terms as well as long-tail keyword phrases.

As I said, it doesn’t analyze results. It lists the search results, which you can either save to your account or export.

It’s, however, a helpful tool to consider if you need keywords lists to brainstorm around or to use for optimizing your Amazon and eBay listings.

Instakeywords

Instakeywords is a free, long-tail keyword research tool.

The tool Instakeywords will give you hundreds of keyword ideas related to your niche and keyword information, such as keyword global and local search volume, trends, and costs for clicks (CPC). You may use it to find keywords that are simple to rank and access competitor keyword data which usually is out of reach.

You can use Instakeywords as a Chrome extension on your Chrome browser.

Bottom Line: Not Every Tool Will Suit Your Keyword Search Needs

Keyword research is a crucial part of every content strategy. Although free keyword search tools are helpful, they can be limiting. You will probably experience this while trying out some of these tools.

We recommend trying them out and scaling to a paid model once your content efforts start to pay off.

The post Top 10 free social media keyword search tools appeared first on Tech Research Online.

In today’s technology-based world, both Artificial Intelligence and Machine Learning have immensely expanded among various business organizations just in the same way as software development has occurred. With the assistance of Data Science tools and frameworks, we can easily handle huge amounts of datasets, gain necessary information from those and decide which algorithm is best suited for which model.

Noting that Machine learning in the field of Data Science has become the hottest job of the 21st century and providing plenty of opportunities to both experienced developers and fresh IT graduates, all programmers are trying to learn and update themselves with the latest programming and coding stuff.

In this particular blog, we have shortlisted the top 20 Data Science Tools which are available so that we can build and develop much better model solutions for our software.

This blog will turn out to be an ultimate guide for increasing your knowledge and help you explore the world of Data Science, as the rundown of machine learning tools is only the beginning and will keep on being refreshed. Along these lines, without much delay we should start:

1. TensorFlow:

It is considered to be one of the outstanding Machine Learning Framework amongst other open-source libraries, that is uniquely created for information-based programming. This is so because it helps to deal with a huge range of datasets and it supports regression, classification, and convoluted calculations.

This machine learning tool can function admirably with CPUs and GPUs. It has various forms just as models which provide us the best to deal with a lot of information. It can run well on each gadget, so it is versatile and utilized for improvement reasons. The only thing to observe here is, we need to give additional exertion in learning TensorFlow as it is very intricate.

2. SCIKIT-LEARN:

Scikit-Learn is perhaps the most helpful library for ML in Python. Based on NumPy, SciPy, and Matplotlib, this Python-based library contains a variety of proficient devices for Machine Learning and measurable displaying. These incorporate grouping, relapse, bunching and dimensionality decrease, model choice, and pre-handling.

Since it’s an open-source library with a functioning local area, it is continually being improved. Scikit-Learn can be implemented at various assignments with no penance in speed. It’s a perfect API and is strongly suggested for information mining issues. On the off chance if you are looking for assembling models, then this is the best structure in the business.

3. CAFFE:

A machine learning structure that is created with the assistance of CPP is what we know as Convolutional Architecture for Fast Feature Embedding. This structure is known for its quicker preparation of profound neural organizations. CAFFE comes along with the Python and MatLab interface which makes the capacities work quicker.

It can handle a 60M picture in a solitary day with its processor. It even empowers us to switch between GPU and CPU with a solitary banner. There is consistently a discussion going on about R versus Python for Machine Learning arrangements. In any case, Python has gained more trust from the developers rather than R.

4. AMAZON MACHINE LEARNING (AML):

A cloud-based, Machine Learning programming application, principally utilized by designers everywhere in the world to construct AI models and for producing forecasts is what Amazon Machine Learning means for us. The best part about it is that it can be used by all developers, maybe a beginner or an expert and works well on both desktop and Android platforms.

AML upholds three kinds of ML models which include binary classification, multi-class classification, and also regression. It can incorporate information from various sources like Amazon S3, RDS, and Redshift. Likewise, it permits us to make information source objects from the MySQL data set.

5. MICROSOFT CNTK:

Microsoft Cognitive Toolkit is a profound learning tool compartment given by Microsoft. This system is worked to comprehend the calculation for the natural human mind. It functions admirably with Machine Learning and Artificial Intelligence. We can even utilize the AI system to make models for our business. Microsoft Cognitive Toolkit can even be redone according to our necessities.

We can easily pick our organizations, measurements, calculations, and the sky’s the limit from there. It even empowers backing to multi-machine-multi-GPU-back-closes. This one is an extraordinary AI system in the event that you need your own customization model. Furthermore, observe a point that this device turns out impeccably for the calculations worked for the human cerebrum.

6. APACHE SPARK MLib:

Apache Spark MLib is an adaptable ML library that causes sudden spikes in demand for Apache Mesos, Hadoop, Kubernetes, either independent or in the cloud. It comprises all the standard ML calculations and utilities like characterization, relapse, grouping, synergistic sifting, dimensionality decrease.

The principle point of this apparatus is to make viable Machine Learning versatile and simple. Flash MLlib offers different instruments like ML calculations, Featurization (include extraction, change, dimensionality decrease, and choice), Pipelines (for building, assessing, and tuning ML pipelines), Persistence (for saving and stacking calculations, models, and pipelines), and Utilities (for straight polynomial math, insights, information dealing with).

7. SHOGUN:

Shogun is perhaps the most renowned C++-based ML structure on the market trending today. C++ is an exceptionally huge and advanced programming language. In order to create a platform in Machine Learning using C++, it requires a huge amount of in-depth understanding and knowledge. Despite the fact that the language is C++, it’s an interface for a few dialects and stages like MATLAB, Python, R octave, JAVA, and so on. It is well known for the scope of ML models it offers.

Its models range from SVM to Markov’s model and so on. Likewise, because of its wide contribution of models with a solid language base like C++, it is profoundly research-situated. Numerous IT ventures which are chipping away at ML projects widely used shogun. Shogun gives models and calculations to essentially a wide range of learning strategies in ML and to a degree, it helps in neural organizations too. In the shogun structure, we would get libraries like CLIBSVM, and so on. Each name will have a capital C before it.

8. MOA:

Massive Online Analysis, abbreviated as MOA is the most well-known open-source structure for information stream mining, with a functioning, developing, and growing community. It’s anything but an assortment of AI calculations (characterization, relapse, grouping, anomaly discovery, idea float identification, and recommender frameworks) and apparatuses for assessment. Identified with the WEKA project, MOA is however written in Java, while scaling to additional requesting issues.

9. VELES:

Veles is an appropriate stage for deep learning applications, and it’s written entirely in C++, in spite of the fact that it utilizes Python to perform mechanization and coordination between hubs. Datasets can be examined and naturally standardized prior to being taken care of to the bunch, and a REST API permits the prepared model to be utilized underway right away. It centers around execution and adaptability. It has minimal hard-coded elements and empowers the preparation of the relative multitude of broadly perceived geographies, like completely associated nets, convolutional nets, recurrent nets, and so on.

10. APACHE MAHOUT:

Apache Mahout is an open-source Machine Learning zeroed in on cooperative sifting just like a grouping. These executions are an expansion of the Apache Hadoop Platform. While it is as yet in progress, the quantity of calculations that are upheld by it has been developing altogether. Since it is carried out on top of Hadoop, it utilizes the Map/Reduce ideal models.

A portion of the special highlights of Apache Mahout is It gives expressive Scala DSL and a disseminated straight polynomial math system for profound learning calculations. It gives local solvers to CPUs, GPUs just as CUDA gas pedals.

11. ORYX 2:

Oryx 2 utilizes Lambda Architecture for constant and enormous scope AI preparation. This model was based on top of the Apache Spark design that includes bundled capacities for building fast prototyping and applications. It works with start to finish model advancement for communitarian separating, characterization, relapse just as grouping tasks.

Oryx 2 includes the accompanying three levels. The main level is a conventional lambda level that gives speed and serving layers that are not explicit to Machine Learning techniques. The subsequent specialization gives ML reflections to choose the hyperparameters. It’s a well-prepared start to finish execution of the ML applications in its third level.

12. APPLE’S CORE ML:

Core ML is an information science programming instrument by Apple. It’s anything but a direct model that assists clients with coordinating AI models into their portable applications. The straightforward cycle expects clients to drop the machine learning model record into their undertaking and the Xcode naturally fabricates a Swift covering class or Objective-C.

Area explicit systems and usefulness can be found on it. Core ML effectively upholds Computer Vision for exact picture investigation, GameplayKit for learned choice trees assessment, and Natural Language for normal language handling. It is streamlined for on-gadget execution and also expands on top of low-level natives.

13. THEANO:

Theano is a Python library that lets us characterize, upgrade, and assess numerical articulations, particularly ones with multi-dimensional clusters (NumPy.ndarray). Utilizing Theano it is feasible to achieve speeds equaling hand-made C executions for issues including a lot of information. It was composed at the LISA lab to help the fast improvement of proficient AI calculations.

We all have heard about Pythagoras Theorem and have also implemented it in many fields. The name, Theano comes after Pythagoras’ wife who was also a great greek mathematician and is delivered under a BSD permit.

14. WEKA:

Weka empowers AI calculations that assist in information mining. The major features are Classification, Visualization, Data readiness, Regression, Data mining, and clustering too. Moreover, it gives online courses to prepare straightforward calculations and is quite useful for students also.

Regression is a method that is used to find the relationship between a dependent variable ‘y’ and a sequence of independent variables and its representation on straight lines. We won’t be discussing Simple Linear Regression in this blog because it’s a vast topic for study but I would suggest you to grow an in-depth understanding of this subject matter as it will help a lot in further prospects.

15. COLAB:

The best cloud-based administration supported by Python is what Google Colab is. It uses PyTorch, Keras, TensorFlow, and OpenCV libraries to help us assemble AI applications. The major highlights are It aids AI schooling and exploration and we can explore it easily by means of our google drive.

16. NET:

Accord.Net offers Machine Learning libraries for man-made intelligence picture and sound preparation. Its features include it gives calculations to Numerical Linear Algebra, Numerical enhancement, Statistics, and Artificial Neural organizations and also for a picture, sound, and sign handling. It likewise offers help for chart plotting and representation libraries. The major advantage is that libraries are made accessible from the source code and just as an executable installer and NuGet bundle supervisor.

17. RAPID MINER:

Rapid Miner is a stage for AI, profound learning, text mining, information arrangement, and prescient examination. Exploration, training, and application advancement are the sectors in which rapid miner is being implemented in the maximum amount.

The highlights are through GUI, which helps in organizing and executing methodical insightful work processes. It helps with information arrangement, result representation, and model endorsement, and improvement. It has turned out to be so beneficial for developers because it is widely extensible through modules, easy to utilize and restricted programming abilities are required.

18. KERAS:

Keras is an open-source neural organization library that offers help for Python. It is mainstream for its seclusion, speed, and usability. Consequently, Keras is highly advantageous in cases such as quick experimentation as well as fast prototyping. It offers help for the execution of Convolutional Neural Networks, Recurrent Neural Networks, or just as both.

It can run efficiently and consistently on both the CPU and GPU. Contrasted with all the more broadly famous libraries like TensorFlow and Pytorch, Keras gives ease of use that permits the clients to promptly carry out neural organizations without abiding over the specialized language.

19. MLPACK:

mlpack is a C++based AI library initially carried out in 2011 and intended for versatility, speed, and convenience, as per the library’s makers. Carrying out mlpack should be possible through a store of order line executables for no-nonsense, discovery activities, or with a C++ API for more refined work. Mlpack gives these calculations as basic order line projects and C++ classes which would then be able to be incorporated into bigger scope AI arrangements.

20. PATTERN:

It is a web digging module for the Python programming language. It has devices for information mining (Google, Twitter, and Wikipedia API, a web crawler, an HTML DOM parser), regular language preparing (grammatical feature taggers, n-gram search, assessment examination, WordNet), AI (vector space model, bunching, SVM), network investigation and <canvas> representation.

Author Bio:

Ram Tavva a Senior Data Scientist and Alumnus of IIM- C (Indian Institute of Management – Kolkata) with over 25 years of professional experience Specialized in Data Science, Artificial Intelligence, and Machine Learning.

The post Top 20 Data Science Tools – The Ultimate Guide appeared first on Tech Research Online.

We are living in the digital age and most businesses rely on technology to run their businesses efficiently. Recently, we have seen many questions about collaboration tools. Since they are very important for any business, we are going to clear out the confusion around it.  

So, in this blog post, we are going to cover some of the most Frequently Asked Questions on Collaboration Tools (FAQs on Collaboration Tools).  

1. What Are Collaboration Tools?  

Imagine a whiteboard in your conference room where your team gathers and brainstorm idea by collaborating. Collaboration tools perform a similar task but digitally. In short, they create a space where the whole team can world by collaboration.    

There are three types of collaboration tools:  

Collaboration Tools for Communication  

• E-Mail  
• Voicemail  
• Instant messaging (IM)  
• VoIP (voice over IP) / video call  

Collaboration Tools for Coordination  

• Online Calendars  
• Time trackers  
• Spreadsheets  

Collaboration Tools for Cooperation  

• Video conferencing  
• IM teleconferencing  

2. How Can You Use Collaboration Tools to Improve Team Communication?  

To improve team communication with the help of collaboration tools, follow the steps below:  

• Select a space where your team can work comfortably.   
• Help your team develop crucial collaboration and teamwork skills  
• Share all the resources, assign tasks, and maintain quality standards to boost productivity  
• Communicate effectively with your team members  
• Create an environment where your team can comfortably communicate and share ideas  
• Keep reminding your team to focus on objectives and the outcomes of your current task  
• Who uses online collaboration tools?  

Everyone can/should use collaboration tools from manager to team leads.  

3. Is Microsoft Teams A Collaboration Tool?  

Yes, Microsoft Teams is a collaboration app. It can help you collaborate with your team, stay organized, share important resources, make phone calls, host meetings, and have conversations seamlessly.   

Also Read: A-Z Tech BuzzWords in 2021 that You Should Know

4. Is Onedrive a Collaboration Tool?  

Yes, OneDrive is a content collaboration service. It is included within Office 365 and allows users to share content, store files, and collaborate on documents.  

5. Where Should I Use Collaboration Tools? / When Should I Use Collaboration Tools  

Collaboration tools can be used everywhere from creating spaces for collaboration to communication. For instance, they can be used for direct messaging, video conferencing, online forums, and online group tasks.   

6. What Are Collaboration Tools for Business? What Are Some Examples of Collaboration Tools? 

Best Collaboration Tools for Business are:  

• Google drive  
• Microsoft 365  
• Slack  
• Asana  
• Podio  
• Ryver  
• Trello 
• Flock  

7. What are Social Collaboration Tools?  

As we know the internet is an open place, information is shared with everyone. However, if you want to keep your information private and secure Social collaboration tools are your answer. They are networking platforms that give employees privacy for communication and collaboration.   

8. What are the Benefits of Collaboration Tools?  

• Ease in Tracking Workflows   
• Better Collaboration in Distributed Teams  
• Better Overall Communication  
• Improved Employee Participation and Engagement  
• Increased overall Office Efficiency  
• Better Access to Information  
• Access to Updates in Real-time  
• Cross-functional teams  

9. What are Virtual Collaboration Tools?  

Virtual collaboration tools are similar to other collaboration tools. They have 2 or more parties that are involved virtually. They do not physically interact and always communicate through different technologies.  

They use virtual collaboration tools for information transfer in face-to-face meetings, communicating virtually through visual, verbal, written, and digital means.  

10. What are Microsoft Collaboration Tools?  

Microsoft Collaboration Tools are:  

• Office 365 Groups  
• Microsoft Teams  
• One Drive for Business  
• SharePoint  
• Office 365 Video  
• Outlook Email  
• Skype for Business  
• Delve Boards  
• Yammer  

11. What is the Best Online Collaboration Tool?  

Google Drive, Microsoft 365, Slack, Asana, Podio, Ryver, Trello, and Flock are some of the best tools for collaboration. However, to decide which one works best for you, you need to choose as per your business needs.    

12. What is the Most Popular Workplace Collaboration?  

According to Statista, the top five collaboration tools for remote work in the US are Zoom, Microsoft Teams, Google Hangout, Slack, and Skype. They say that more than 36% or one-third of employees used Zoom, followed by Microsoft Teams with 19% when working remotely.  

13. What is Required for Using Collaboration Tools? 

• Cloud-based technology 
• Workflow management tools 
• Data visualization tools 
• Workflow tracker

14. What are the Pros and Cons of Online collaboration Tools? 

Pros: Productivity, drastically reduces downtime, efficient communication, highly cost-effective, brings diversity to collaboration, and sensitive data is secure. 

Cons: Personal contact is reduced, licensing models limit access to selected users, and only trusted platforms offer security and safety. 

15. Why are Microsoft Teams bad? 

Integration with Outlook Calendar and Microsoft Teams Status is really bad. 

16. Is Microsoft Team Free? 

Yes, Microsoft Teams is completely free to use.  

17. How do you Collaborate with a Team? 

If you want to work together in Microsoft Teams follow below steps: 

• Select the plus, next to the tabs 
• Choose a workspace and type a name 
• Select Post  
• Select Save. 
• You have successfully created space for collaboration 

Here, we have covered some of the frequently asked questions on collaboration tools. We hope this article has helped you understand a little bit about them.  

If you have any questions, leave a comment down below and we will answer them.  

Author Bio:

Shreeya Chourasia is an experienced B2B marketing/tech content writer, who is diligently committed for growing your online presence. Her writing doesn’t merely direct the audience to take action, rather it explains how to take action for promising outcomes.

The post Everything about FAQs on Collaboration Tools   appeared first on Tech Research Online.

• Data Visualization has emerged as one of the most critical tools for both simple and complex corporate structures.
• Visualizing data can be a major challenge due to the sheer volume and complexity of the information.
• Tableau Public, Microsoft Power BI, Google Data Studio, Openheatmap, DataWrapper, and Leaflet are considered the leading Data Visualization and analytics tools currently available, with excellent mobile capabilities.
• Power BI can take your reporting to the next level. You can review your most critical data at first sight.
• Google Data Studio gives users the option to work with multiple views of data.
• With Openheatmap, you can share your story with others.
• Coding gives you a chance to design and customize the graphs you create.

Data Visualization has emerged as one of the most critical tools for both simple and complex corporate structures and plays a key role in success in business today.

It is a field of Data Science that handles the visual representation of the most complicated datasets. Visualizing data is a major challenge due to the colossal volume of information available – and the need to present it in a meaningful way.

It is surprising to discover that around 2.5 Quintilian bytes of data are generated across the globe on a daily basis. In simpler terms, 600 Wikipedia pages are created every minute.

Unimaginable, isn’t it? It is difficult for businesses to manage, interpret and visualize such huge volumes of data, yet extract information that is relevant and crucial.

How could your business ever manage such a massive volume of data?

The answer lies in the field of data science. Data science is about more than analyzing data; it is about finding the meaning of the information. Conventional analytics can only get you so far. Data Visualization solves this problem by presenting the data in easy-to-understand, customizable graphs.

Today, there are a variety of tools available from Tableau, Google Data Studio, and Power BI. There is an ever-growing list of free Data Visualization tools, designed to help the professional data scientist in the visualizing of information and the discovery of messages in the data.

Read the Full Article to get the Answers Of:

• Which Data Visualization tool is the one for your business?
• Which tool can create engaging and useful reports for you?
• Can you use any of these tools for free – and without expert knowledge?

List of Data Visualization Tools – Details and Summaries

1. Tableau Public

If you want a simple business intelligence tool for your desktop, Tableau tops the chart. It’s by far the simplest and the best Data Visualization tool that you can use, no coding required.

Tableau is one of the fastest evolving Business Intelligence (BI) and Data Visualization tools. Tableau turns Data Visualization into an interactive and shareable dashboard that is simple to use. With the help of Tableau Public, you can picture the latest trends, changes, and data density with the help of graphs and charts.

Tableau was founded in January 2003 by Chris Christian. The idea was first mentioned in an academic paper way back in 2002 – to design a special tool that allows users to visualize data in a simple way. Many doubted the need for the new Data Visualization tool when Excel already allowed us to create bars, tables, and pie charts. Why did Tableau succeed?

Tableau has emerged as one of the most effective and fastest advancing Business Intelligence and Data Visualization tools.

Gartner considers Tableau to be the gold standard for intuitive interactive visual analysis, and an established Enterprise platform. You can represent your data in any way that you want, from static visuals to interactive resource delivery.

You can tweak the graphics, you can play around with them, and you can select from different charts. The tool also has exceptionally good production dynamics. It only takes only a few seconds for you to graph the visualizations. Tableau remains the top interactive tool.

Tableau Public & Key Features

Tableau Public is probably the best Data Visualization tool available because it allows users to create awesome visualizations without having to know how to code. The key feature of Tableau Public is that it allows users to easily connect to several databases.

The tool has the power to transform your data into interactive dashboards, with the ease of dragging and dropping the fields. Additionally, Tableau Public enables users to share visual images online so that other users can download that information easily.

Tableau Public is the same version of Tableau, but without the subscription, Tableau Public does not provide the privacy you receive with the paid version. Everything you create with this tool is available for public review and is automatically available on the web.

Compared to Microsoft Excel, Tableau is a fast, easy-to-use tool for making visual charts and telling interactive stories on the web. The tool is great at building visualizations and is an ideal assistant for any kind of business that collects data to help making business decisions.

Tableau has managed to stay in Gartner’s magic quadrant for years now and is respected as the top interactive BI tool.

The application software includes

• Real-time collaboration and data mixing.
• Permits distribution for interactive charts.
• Includes shareable dashboards.
• Ability to forecast trends and changes in the data.
• Ability to represent data density in charts and graphs.

Benefits of Tableau include

• A pioneer in Data Visualization and analytics.
• Flexible Graphical User Interface (GUI)
• Easy to use and learn.
• No coding experience necessary.
• Easy to integrate with other data analytic tools.
• Provides a solid cloud presence.
• Free software for interactive Data Visualizations.
• Tableau Public allows you to easily input your data by dragging and dropping fields into the view.
• Tableau Public allows sharing visualizations online.
• Has a great mapping capability.
• Besides Tableau Public, other offerings are Tableau Server, Tableau Desktop, Tableau Online, and Tableau Reader.

Also Read: Top 11 Best Big Data Tools And Software That You Can Use In 2020

These features keep Tableau ahead of other software.

Statistics

More than 300,000 data enthusiasts are reported to use Tableau as a free data storytelling platform for data journalism, public advocacy, and other needs.

Example

Game of Thrones in Words created with Tableau

 Image Source: Toptal

Installation link

https://public.tableau.com/en-us/s/download

2. Microsoft Power BI

Power BI is similar to Excel’s desktop BI Data Visualization tool but is far more capable than Excel. It supports the utilization of multiple data sources, the price is reasonable, and it can be used as a separate BI tool. However, there is no way to integrate it into existing systems.

Power BI has several similarities to Excel’s desktop BI tool, but the features and functions of the former are far more effective than the latter.

Power BI enables multiple data sources, yet it remains reasonably priced. The limitation with Power BI l is that it can only be deployed as a separate tool with no scope for integration with existing tools.

Microsoft Power BI is a suite of business analytic tools that help you create and share intuitive reports for business insights. The tool allows you to create and modify Data visualization, join data from multiple sources, and build dashboards.

Microsoft Power BI also allows users to successfully import essential data, generating a report with visualization. This Data Visualization tool also allows you to share your data by publishing it to the Power BI service with one click.

With Microsoft Power BI you can extract any kind of information. For example, if you have a lot of reports that you have published, you can find them easily using the search tool. The Power BI interface further allows you to manipulate the reports that you are sharing.

You can import additional data by pushing the data button. Keep in mind that you can import data from a variety of sources. You also must remember that all your data does not need to be from the same source; Excel spreadsheets, SQL Server data Query, or another data query source are all feasible. You can put them all together in Power BI by creating the relationship, manipulating that data, and then by creating impressive visualizations.

Whenever you are importing queries, make sure that you have all the data that you need. Power BI is smart enough to detect the relationship between the data and join different datasets together. If the Power BI Data Visualization tool fails to recognize a relationship between the data, you can establish that relationship yourself.

Power BI further allows you to sort the data and change the format prior to creating visualizations. You have the option of combining the data into a single canvas page, or you can use multiple pages for unique perspectives on the information.

Microsoft Power BI & Key Features

The tool also allows you to,

• Join together multiple sets of data.
• Add extra data sources.
• Create new and interactive visualizations.
• Update published reports on the Power BI service.
• Create a dashboard on the Power BI service.
• Pin visualizations to a dashboard.
• Modify the dashboard.
• Share a dashboard with colleagues, customers, or your business partners.
• Enable bespoke visualization, modeling, and predictive capabilities for advanced analysis.
• Make use of cloud-based BI services.

Microsoft Power BI allows you to import data, manipulate it quickly, and then securely share the insight. To get started with the free BI desktop application, download the free application. You can then connect with hundreds to data sources like Excel, Salesforce, Google Analytics, Social Analytics, and even ILT devices. All this data can be converted into live, interactive visuals.

Image source: PowerBI

When you have mastered the Free Power BI tool, you can upgrade to the Pro version. With the paid version, you can start collaborating freely. You can connect to different dashboards and deliver a 365-degree view of your business.

You can also control how your data is being distributed, packaged, and used with your colleagues. With the Premium version, you can export your content for use in your digital properties across an enterprise.   

Also Read: How To Pick Out Best CRM Software

Power BI is a strong BI Data Visualization tool and is useful in many ways.

Advantages of using Power BI

• The simplicity of use.
• Seamless integration.
• Absence of memory and speed constraints.
• Secure publishing of reports.

The main benefits of using the Power BI Data Visualization tool are:

• Customized dashboard as per the organization’s requirements.
• Data can be pulled from as many sources as required.
• Individual employees and teams can easily edit, view, add comments, and manage versions of dashboards and reports.

Statistics

It has been estimated that Power BI has more than 5 million subscribers – this is the milestone achieved by the Power BI company and it speaks volumes about how highly regarded this is. It has been estimated that data use would reach around 50 zettabytes or more by 2020.

Example

Image source: Bloomberg

Installing link

http://app.powerbi.com

3. Google Data Studio

Have you ever struggled to build dashboards fast?

Remember those sleepless nights when you have been trying to create a visual image, but in vain? I have been in your position, so I understand the pressure of time, output requirements and being able to get a concept across in an easy to understand form.

To cut a long story short, I found Google Data Studio, which is a great solution to represent your data and create powerful reports. This Data visualization tool helps you connect your data and insert it seamlessly into reports. Google Data Studio allows you to create clean and powerful reports and share them amongst your group.

Google Data Studio is a free Data Visualization tool that helps to illustrate your data. At this time, the Dashboard market is fragmented and there are plenty of different solutions. Usually you must choose between heavy BI tools which allow you to do everything, but the licenses can easily cost you US$50k and more.

Simpler solutions can be quite limited and may not cover all your needs. Thankfully, there are easy to use solutions available for your business. Google Data Studio is an example of a great free solution.

This platform allows you to create and share beautiful reports – quickly and effectively. If you run a small or medium sized business, or even a department in a big corporation; this Data Visualization tool is the perfect choice.

Google Data Studio is an interesting tool as it constantly evolves, meaning that there are always new features being integrated. Recently, new formulas have been added to the mix that give you more options. In Data Studio, you can add to your data set with calculated fields and then utilize formula events.

Google Data Studio gives its consumers the option to have multiple views of their data. The tool enables its users to visualize data like charts, graphs, and pies.

The tool can further be integrated into Google Analytics, creating a unique combination of the two. Both Google Data Studio and Google Analytics have free-to-play versions to get you started.

Good Data Studio is part of the Google Marketing Platform and it has an impressive ecosystem of tools.

To get started you have to visit http://datastudio.google.com and sign-in using your Google account.

If this is your first visit, you need to set up Data Studio. Press ‘Get Started’ and agree to the terms and conditions. The tool is available for personal and company use. You can also purchase a subscription. The screenshot below shows the data studio dashboard:

Data Studio gives you a rich selection of styles to make your reports attractive, compelling, and on-brand for your business. The ‘arrange’ menu lets you align components, group them and control how they overlap. To view this report as your colleagues see it, you can click the ‘Edit’ toggle.

This simple report may not look like much yet, but it is live data. You can interact with your data by manipulating the data points. You can also change the date range of the data for clarity and closer focus. There is a lot more you can do with Data Studio besides just visualizing information.

There are few major concepts in Data Studio. They are the Data Source, Connection Report and Explorer.

Data Sources and Reports have many relationships. This means that one report can integrate multiple sources of data. The same data source can be connected to many reports.

Once you introduce a change into one report, the changes will automatically appear in all the connected reports, but It is not that evident from the UX perspective. You can connect information from various platforms like BigQuery, YouTube, Google Analytics, Facebook ads, Spreadsheets, and others.

There are connectors provided by Google, and created by the community, for merging platforms. If you need to create a custom connector, you can either create it yourself or transfer data from storage.

With Data Studio you can easily navigate between Reports, Data Sources and Explorers using the top menu. Google provides a few samples of free dashboards, or you can create your own.

Google Data Studio & Key Features

Since late 2018 Google Data Studio has added new features giving users a chance to create charts, graphs, and other forms of visualization. You can share these images with other users.

Also, Google Data Studio allows to,

• Connect to your data source.
• Visualize that data to gain insights.
• Sharing reports and collaborating with your team.

Main benefits of Google Data studio

• With Google Data Studio, you can put many data sources into one place, meaning that you are not just limited to Google Analytics. Instead, you can access many other tools like Google AdWords, different Ads channels, SQL, Search Console, and YouTube Analytics. Plus, you can add tons of different third-party integrations.
• If you are looking for specific e-commerce or social media type of stats, you can probably find yourself a qualified plugin, or connector.
• The way you can customize the dashboards is stunning. If you are a newbie and do not know how to use dashboards, you can always learn how to do it using fake dashboards.
• The tool is convenient when it comes to customizing the Google Data Studio. This feature allows the customers to tailor Google data dashboards to their needs.
• The cool thing about Google Data Studio is that it allows you to drag and drop elements.
• You can share it like any Google document. This feature is effective from a time and resource perspective because you do not need to email your reports every month.
• The greatest thing about Google Data Studio is that everything goes on in real-time, meaning that numbers are always being updated, with live filter modifications.
• All the elements are easily interact-able, meaning that all the information is interactive and understandable.

Statistics

Data Studio is part of the Google Marketing Platform. Recent integration with Google Cloud allowed Data Studio to easily access data from Google Analytics, Google Ads, Display & Video 360, Search Ads 360, YouTube Analytics, Google Sheets, Google BigQuery, and a whole list of other data resources making Data Studio a highly popular Data Visualization tool used by millions of happy customers worldwide.

Nowadays, thousands of companies worldwide, including leading brands, choose Data Studio as their marketing reporting tool.

Example

Favorite Community-Built Visualizations in Google Data Studio

  Image Source: GoSquared

Installation link

https://datastudio.google.com

4. Openheatmap

Have you ever encountered a situation when you have interesting information, but you need to present it in a more interesting manner than raw spreadsheet data? If yes, Openheatmap is a viable solution. With Openheatmap you can map your data across any geographical area, presenting it in context and giving it a better shape and form of presentation.

The traditional data sources, such as Google Spreadsheets, are used for an interactive, animated view of a geographical area, that can be shared online.  Developers traditionally use a JQuery plugin. This simplifies the process of creating a completely open-source mapping component on any web page. These are created based on either Flash or HTML5’s Canvas element.

Openheatmap is another free visualization tool that allows you to share heatmaps and tell stories with that data. The tool makes it easy to transfer data from Excel files and Google Docs and to produce a heatmap.

All you have to do is to open the Excel file and make sure that your Excel file data has correct names for the columns. Then you go to the website, choose the Excel file, and upload your data. That information is enough for the Openheatmap tool to automatically recognize the information and create a visual map.

With Openheatmap you share your story with other individuals and create the best possible “visual aid” for your audience. This Data Visualization tool allows you to fix your image to the geographical area you want it to examine. It makes it much easier for reader to grasp the trends and tendencies your data represents.

Installation Link

www.openheatmap.com

The Openheatmap tool allows you to share the link and send it to other people. This Data Visualization tool works best with Google Spreadsheets and Microsoft Excel.

Openheatmap & Key Features

You can use your own dataset to create your own Heatmap by following a simple procedure of uploading your own Excel or Google Docs files.

The procedure might seem simplistic, but the results can look great. I recommend that you try out Openheatmap. 

• It is a powerful way of visual storytelling
• It offers Pure CSS3 popups and controls for easy storytelling
• Map controls.
• It suggests image and HTML-based markers.
• Layers out of the box.
• Custom map layers and controls.
• Powerful OOP facilities for extending existing classes.
• Hardware acceleration.
• Interactive features.
• Smart rendering with dynamic clipping and simplification.
• Modular build system.
• Zoom and pan animation.
• Default design for marketers, including popups and map controls.
• Pinch-zoom on mobile.
• Performance features.
• Hotspots indicate the visitors’ behavior instantly.
• Openheatmap turns your data into a Custom Heat Map.
• Extremely lightweight.
• No external dependencies.

Statistics

Created by Pete Warden, OpenHeatMap is a free Data Visualization tool used by tens of thousands of non-technical users every year.

Example 1

Image Source: Journal Article by Breinholt, J., Porter, M., and Crandall, K., titled “Testing Phylogenetic Hypotheses of the Subgenera of the Freshwater Crayfish Genus Cambarus (Decapoda: Cambaridae)”. 2012/09/26

Example 2

Image Source: Journal Article by Breinholt, J., Porter, M., and Crandall, K., titled “Testing Phylogenetic Hypotheses of the Subgenera of the Freshwater Crayfish Genus Cambarus (Decapoda: Cambaridae)”. 2012/09/26

5. Leaflet

Leaflet is a modern, open-source JavaScript library for mobile-friendly interactive maps. It is designed with simplicity, performance, and usability in mind and works efficiently across all major desktop and mobile platforms. Leaflet can be used with many plugins, coming with an easy to use and well-documented API.

Leaflet works efficiently across all the major platforms, straight out of the box. It presents the visualization as an HTML file that can be interpreted by a wide range of browsers. The tool is not suitable for beginners, you must have basic knowledge of JavaScript and HTML.

Leaflet is a JavaScript library where you insert your Data Visualization algorithms. If you are familiar with the command line, or with the application programming interface (API), then this tool is for you.

Leaflet can be extended with a huge number of plugins, this is not common across other Data Visualization tools – however, it requires a basic knowledge of HTML, CSS, and JavaScript.

The visualization starts by setting up directories. You can then download the project into the map folder. You will need folders for the libraries and others for data. You can download your data in ‘shape’ file format, but you will need to convert this data to QGIS.

Image Source: Qgis.org

QGIS is a format for encoding a variety of geographic data structures. To do this, you need to download and install QGIS.

QGIS is an open source software that you will use to prepare and view your data.

The first thing that you need to do is to download the ‘Geany’ text editor. You can use other text editors like ‘Online Notepad‘, and ‘Net Beings’.

You must follow certain steps to download your data into a Leaflet library, then download the Leaflet library. You can use the hosted version of the library or you can download the local copy. Downloading the library will give you the opportunity to use the library offline.

Google Maps used to be free, however recently Google has updated its terms of service. Today you need registered credit cards to use the Google Maps API key.

Returning to Leaflet, it allows us to generate data-driven maps using an open-source JavaScript library for mobile-friendly interactive maps.

With this tool you must choose the layer of information that you want to display to users. You can switch between layers when you have two parameters.

You can also add different layers to your map. You can further create your own marker and draw demarcation lines, indicators, etc. You have the option of grouping your elements to display them all at one time.

To use this program, you must create different layers of information by adding these layers to your map. The tool uses JavaScript and requires some tech knowledge from the user.

Leaflet & Key Features

• Leaflet is an Open-Source JS library.
• Leaflet is mobile-friendly and lightweight at 38Kb.
• The tool is easily customizable.
• Simple and easy to use.

Things you can do with Leaflet:

• Create thematic maps.
• Provide infographic style visualizations.
• Standardize the way in which data is displayed.

What are the best things about Leaflet?

• Layers Out of the Box.
• Customization Features.
• Map controls.
• Interaction Features.
• Performance Features.

Visual Features:

• Display maps in non-spherical Mercator projections.
• Augment map features using chosen plugins from Leaflet plugins repository.

Statistics

Leaflet is an open source JS library for mobile-friendly interactive maps, created by Ukrainian Web Developer Vladimir Agafonkin.

This free Data Visualization tool allows a user to build rich, interactive, and mobile-friendly visualizations of high-volume data with 100,000+ points, just using the power of a browser.

The tool is used by thousands, including media sources such as NPR, Washington Post, and the Boston Globe.

Example

 Image Source: Leafletjs

6. DataWrapper

DataWrapper is a Berlin-based company built by a multinational group of designers, developers, and journalists. The tool is primarily designed for creative writers, bloggers, and journalists. It helps people produce great visuals to accompany their articles.

This Data Visualization tool is also useful for other professionals looking for similar data insights and it provides both free and paid versions.

DataWrapper is the preferred tool of the journalist. Media professionals are extensively using DataWrapper in their newsrooms. However, its use is not limited. Instead, the tool can be pretty much useful for anybody who wants visualizations to be incorporated into their articles.

This Data Visualization tool helps to create charts and maps. All DataWrapper graphics are responsive and look good both on desktop and on mobile devices without additional work from your side. They also look good on the page where they are going to be printed.

There are different templates or different themes in DataWrapper, helping the designer create effective presentations. The tool has a menu where you can create the different types of charts, graphs, and tables within the program.

All graphics and charts from DataWrapper have a nice user interface, where you can highlight different elements and interactivity, or add specific points to the graphics. You can create doughnut charts and pie charts, amongst others.

The tool allows you to create cartograms, you can also create symbol maps, and simple locator maps. To create locator maps, you have just to create a location and insert them inside your map. You can also create a shaded relief map to develop different and interesting images.

Next are tables. You can use tables to create graphics to explore raw data. You can also use tables to combine several types of graphics together.

DataWrapper has many map features and has a selection of maps included (about a thousand preloaded maps have already been inserted).

The tool provides you with online learning classes, so that is awesome if you are a newbie to building Data Visualizations. DataWrapper also has a special “free zone” stuffed with images that have been created by DataWrapper’s users.

With DataWrapper it is easy to create charts and maps. For example, you can easily design a choropleth, symbol, or a locator map. You are also free to create a chart of your choice, depending upon your data.

Finally, all DataWrapper images are optimized for mobiles, which is important in a modern web data development environment.

DataWrapper & Key Features

The best thing about DataWrapper is that all its charts are:

• Interactive
• Responsive
• Embeddable in your website.
• No code is required.
• It works on the web.
• Customization is possible.
• It can be integrated with existing CMS.
• It has a powerful API.
• The tool is specifically designed for newsroom Data Visualization.
• It has a free plan, which is a good fit for smaller sites.
• DataWrapper includes a built-in color blindness checker.
• DataWrapper enables users to create charts and maps in minutes.

Statistics

Created with the intent to support data-driven journalism, DataWrapper is designed for journalists in newsrooms. The tool has been designed to help users create high-quality charts by following a simple procedure. It has been estimated that the total number of DataWrapper users has reached about 50.000 registered users. The majority are writers and experienced journalists, or people involved in the communication process fields.

Example

Image Source: Toptal

Installation Link

https://www.DataWrapper.de/

Conclusion

Data Visualization is becoming more and more critical as volumes of data are accumulating. There are several effective tools, discussed here, and there are many more that are in the making. The bottom line is that an individual or an organization must first understand their requirements and budget before analyzing the data.

Google Data Studio provides an excellent introduction to data analytics, but you can begin with Leaflet if you have coding expertise. With Tableau (paid version) and Microsoft BI, you can also build rich, fully-featured presentations for your colleagues. You need to find the application that best works for you.

Coding gives you a chance to design and customize the graphs, thus arranging your scattered data into a beautifully arranged set of information. The list of free Data Visualization tools discussed in this blog post is not complete, as there are many other awesome tools worth mentioning and considering. I am always searching for more tools to try and discuss that can simplify the visualization process for others.

Author Bio:

Nataly Otair is a technology writer with more than a decade of experience covering tech issues. She has tested and reviewed all sorts of software, mobile apps, and gadgets. Before launching her freelance business, she was working as a tech expert for Slovenian-based company Introserv.EU, where she negotiated deals and was advising her international clients on server equipment, was closing the deals and solving minor tech issues. Soon Nataly shifted her focus to a freelance style of life and focused merely on blogging and content writing. She is the owner of her own website contentpersona.com where she regularly posts on topics like Marketing Automation, Google trends, and SEO. Follow her on LinkedIn.

The post Best Data Visualization Tools 2022 appeared first on Tech Research Online.

How Software development companies use AI-driven tools? 

Developing software is a very complex process because ideation, product definition, strategic designing, coding, quality assessment, and testing are not easy. Also, the ever-changing marketing trends and increasing desire for a better user-experience are making it even tougher. Humans have limitations, getting distracted, and tiring out from work is ubiquitous. Which means there is no guarantee of constant productivity. 

So, to take the Custom software development process to a whole another level, large enterprises have started using artificial intelligence and machine learning technologies. Although the technology is still budding and the full implication of them isn’t possible, companies use such technologies through some specifically designed tools to pave the way. 

Started by the large enterprises on test-bases, artificial intelligence, and machine learning tools are now applied industry-wide to get better productivity, efficiency, and work accuracy with no errors. To date, various tools are developed and used. Every tool has a specific purpose like data analysis, trend predictions, delivery estimation, requirements gathering, designing, compiling codes, intelligent testing, bug fixing, programming assistance, enhance decision making, and so forth. 

So, without any more delay, let us dive into the exciting details of some of the best and most reliable AI-driven tools that are delivering ground-breaking results. 

Tool#1 Google ML Kit 

Google experts have built this machine learning tool for mobile app developers to create custom features for Android and IOS mobiles. As this technology is specially optimized for mobiles only, it is very easy to use. Google ML Kit comes with a diverse range of vision APIs such as barcode scanning, face detection, tracking and detecting objects, link building, image labeling, text recognition, pose detection, and many more.  

Tool#2 Infosys NIA 

Infosys NIA is an AI-driven tool built-in 2017 by an India-based software development company named Infosys. With the help of this tool, software development companies can enable their clients to gather all kinds of organizational data from the business processes, technical and legal systems, records, individuals and store them into a self-learning database that is used to design further business strategies. The purpose of its development is to forecast market trends, sales, revenue generation, analyze customer behavior, and so on. Infosys NIA has enabled companies to manage their processes while efficiently serving their customers. 

Tool#3 IBM Watson

Want to gain a competitive advantage with an intelligent business process? If your answer is yes then, IBM Watson is the perfect pick for it. Software development companies use this AI tool to empower your business-process and get the benefits of accelerated R&D, enriched interactions, scaling the technologies and expertise, anticipating market trends, risk mitigation, and so on. This Artificial intelligence technology has enabled business teams to focus on their high priority creative tasks. 

Tool#4 Tensorflow

This open-sourced math tool allows software development companies to design, develop, deploy, and experiment with counterfeit systems with high-volume data. Tensorflow is an AI-driven multi-layer computational tool that can do some deep learning calculation for research and production purposes. With additional advantages like robust machine learning, easy prototyping,  powerful experimentation, and being able to operate on any device, CPUs, and GPUs, it also has a disadvantage of having a longer learning curve. 

Tool#5 Accord.NET  

It is an AI-driven framework that consists of machine learning technology to integrate the libraries with C# language. End-users have a wide range of choice because of its multiple layers. It is being used in software development services for its powerful features such as self-learning algorithms, signal processing, scientific computing, pattern recognition, computer vision, and so forth. 

Tool#6 H2O

H2O is an AI-driven tool written in many programming languages like JAVA, Python, R, etc. It is developed to build mobile applications for machine learning, data analysis, risk analysis, customer intelligence, and predictive analysis. It is a cloud-based and Apache Hadoop supported database. Businesses could grow by deriving insights from the datasets of H2O. 

Tool#7 Mxnet 

MxNet can render the software development company with an ecosystem that enables them to explore various tools and technologies to support the development process. Apart from being integrated into eight languages like scala, Julia, Clojure, C++, R, Java, and Pearl, it has an additional benefit of being scalable for training, research, production, and performance optimization. The MxNet tools and libraries can be extended to computer vision, NLP, and others. 

Tool#8 Deeplearning4J

Being a machine learning technological tool written in Java and Scala language, DeepLearning4J is used in software development services for rapid prototyping. While built to fit in the micro-infrastructure, it could also run across the business system with distributed CPUs and GPUs. This AI-enabled tool supports AWS, Python, ScalaAPIs, Hadoop, and Java and offers a special toolkit for DevOps, data scientists, and data engineers. 

Tool#9 Google Assistant 

Yes, it is one of the most common AI-driven tools and every smartphone in the world has it. This tool may seem common but it can support various languages of the world, Google Assistant can browse any detail at your command, set reminders, have a two-way conversation, schedule your meetings, and so forth. In short, this tool can be used to enhance the efficiency and productivity of the business team involved in the rendering of software development services.

Tool#10 Cortana 

Cortana is a virtual assistant developed by Microsoft. Though it has many similarities with Google Assistant like supporting many languages, setting reminders, having conversations and all but the voice recognition feature is much more powerful. And the main advantages are that it can perform some specific human tasks too. So the software developers are using such virtual assistants to cope up with their daily less-productive tasks. 

Conclusion

Artificial intelligence and machine learning technologies are the results of coding and now, these same technologies are armed in powerful tools helping to make, compile, and strategize new codes. And we are seeing the results, AI and machine learning techniques which are currently practiced in the industry enable a software development service provider to deliver a high-end product that enhances the organizational efficiency, increases work productivity, and ultimately delivers outstanding results. 

It won’t be too much to say that shortly, we might get a chance to see some more powerful tools because software development companies nowadays are investing more and more in R&D of such fields. But for now, these tools are

working wonders in the software development industry and changing people’s lives for the better. What’s your opinion about it? Feel free to share right here in the comment section below. 

Author Bio:

Reena Maheshwari is an analyst in a Software app development company at Tatvasoft. She works with the development and sales team for the development of projects.

The post 10 Amazing AI-Driven Tools to Innovate Your Software Development Process appeared first on Tech Research Online.

Data is every marketer’s best friend. Today, data has become an important asset to every marketer. We require data to identify what’s working well in our campaigns and what’s not, to diagnose potential problems, and so much more.

However, many marketers fail to understand that some data simply holds more valuable than others. so, knowing which data can help you excel can be key. Extracting data at scale can be overwhelming; however, web scraping using Python, and other coding languages, can simplify that process.

Marketers must know metrics to monitor as they can mean the difference between success and failure.

And to make your task a little simple, there are hundreds) of marketing analysis tools available on the internet just a click away. Some of these tools are free while others are not. Some tools are specifically good at one thing whereas others offer a broad range of functionality.

Most importantly all of them hold one promise, to provide you the sweet data that can help with run campaigns more effectively as packaging printers pledge to make you marketing campaign proactive

What to look for before selecting big data analytics tools?

Analytic Capabilities: Different tools have different types of analytics capabilities. Different models for various types of analysis include Predictive mining, Decision trees, Time series, Neural networks, Path analysis, Market basket analysis, and Link analysis.

Integration: Statistical tools and programming languages are also needed by businesses for other forms of custom analysis.

Data Import and Export: This is a key consideration as inputting data in and out tools is a vital feature. It helps understand the level of difficulty with which you can connect the analytics tool to the big data repository.

Visualization: Data that is displayed in a graphical format often becomes more use-able and appealing to the users.

Scalability: Big Data tends to grow bigger over time. Hence, businesses need to consider scalability as an option for the analytics tools they choose.

In today’s blog post, we will provide you with the best big data analytics tools and help you see what they do and what they hold for you.

#1. Skytree

Source: Butleranalytics

Skytree is one of the best big data analytical tools out there. It has highly scalable algorithms to even help data scientists build more accurate models faster.

It offers accurate predictive machine learning models that are easy to use as it is designed to solve robust problems with data preparation capabilities. It can provide users with important analytics on customer segmentation, churn prediction, fraud detection, and others.

It is an excellent data analytics solution for small and mid-sized companies. The platform is designed to equip smaller teams with all-encompassing ML mechanisms. It makes data science a simple process; hence even first-time users easily comprehend it.

Its features include:

• Highly Scalable Algorithms
• Easy to adopt GUI or programmatically in Java
• Model Interpretability
• Data accumulation and filtering
• Simple data visualization
• Customizable sets of algorithms
• AI-based predictive analytics
• Extensive data interpretation models

Besides, it analyzes data streams for everything be it relational databases to machine learning libraries. And last but equally important is to mention the customer service team behind the software. You can reach out to their agents around o’clock and they will be ready to help you with your inquiries.

#2. Mixpanel

Mixpanel is a powerful analytical tool that can offer any business invaluable insights on its audience’s behavior.

The designers of Mixpanel along with the 33 percent of marketers agree that having the right technologies for data collection and analysis can immensely help in understanding customers.

Businesses need to constantly track user behavior on their websites. This tool can help track comprehensive user behavior to help them see what potential customers are doing on their websites.

It organizes the data and allows you to see patterns in web usage which then help you make informed future marketing strategies.

Its features include:

• Advanced analysis
• Send targeted messages
• Analytics infrastructure for global scale
• Data governance
• A/B testing
• Annotations
• Data visualization
• Retention features
• Auto track customer engagement

It provides a wide range of functionality without even requiring a single line of code. This means that even non-technical personnel can easily access data about your site.

#3. Apache Spark

Source: Prweb

Apache Spark is another very powerful and massive open-source big data analytics tool. It offers more than 80 high-level operators to easily build parallel apps. This tool can help you figure out datasets and design the analytics reports.

Based on cutting-edge technologies such as a query optimizer and DAG scheduler it is used by large businesses to process large datasets. It helps in running applications in the Hadoop cluster, up to 100 times faster in memory, and ten times faster on disk.

The platform can work with all the major programming languages including the likes of Java, SQL, R, Python, and Scala.

Its features include:

• Run application in Hadoop cluster
• 100 times faster in-memory
• Ten times faster on disk
• Lighting fast processing
• Sophisticated analytics
• Built-in APIs in Java, Scala, or Python
• In-memory data processing capabilities
• Works with HDFS, OpenStack and Apache Cassandra
• Enable superior data processing
• Seamless integration with external apps and software solutions

Another crucial advantage of the tool is that it supports all sorts of devices, apps, and operating systems.

Apache Spark contributors list has over 1.2 thousand names. So, you can either contact their expert community via email or use Jira for tracking issues.

#4. Tableau

Source: Tableau

Tableau is a great data visualization tool that makes it quite different from other platforms. It is a very powerful big data analytical tool as it communicates insights in the form of visual data.

The platform offers a drag-and-drop function that enables users to customize and rearrange visual elements of data. In the analytics process, its visuals allow quick investigations and an easy way to explore data.

However, the tool goes beyond this to offer a whole set of additional functionalities to make it such an important data analytics tool.

Its features include:

• End-to-end analytics
• Advanced Visualizations
• Live and In-memory Data
• Collaboration and Sharing
• Responsive user interface
• Pre-installed information maps
• Advanced data calculations
• Simple content discoveries
• Fully protected system
• Reduced security risks
• Improved activity feed, Ask data, SAP HANA connectors

The tool is available in multiple formats including individual and team-focused platforms.

Tableau is considered one of the best Business Intelligence and data visualization tools. Its most important quality includes organizing, visualizing, managing, and understanding data for its users.

#5. Talend

Source: sysbus.eu

Talend is a great tool for integrating enormous real-time data libraries while making sure that it remains of high quality. The big open-source data analytical tool makes the process of automating data integration, filtering, and management easy.

Gartner says that poor data quality costs U.S. businesses anywhere between $9.7 million and $14.2 million annually. So, Talent helps you take necessary preventative measures with its data-cleaning services and saves you from trouble.

The developers of this platform say, “Talend uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.”

Its features include:

• Faster completion of big data projects
• Handles multiple data sources
• Simpler and more accurate ETL and ELT processes
• Easier to use Spark thanks to the native code generation
• Powerful natural language processing and machine learning
• Smarter data quality with NLP and ML
• Provides numerous connectors
• Simplifies using MapReduce and Spark
• Agile DevOps to speed up big data projects
• Streamline DevOps processes

The platform’s important ability is to allow big data integration which helps master data management to check data quality by accelerating time.

#6. Splice Machine

Splice Machine is an open-source big data analytics tool. Its architecture has been designed to be portable across public clouds such as AWS, Azure, and Google. The seamlessly custom packaging of these compute engines help you save time and money to duct tape systems yourself.

The tool can scale dynamically from a few to thousands of nodes to enable applications at every scale.

Its optimizer can automatically evaluate queries to the distributed HBase regions for faster deployment, reduce management, and reduce risk.

Its features include:

• Scale-out SQL RDBMS
• ACID transactions
• In-memory analytics
• In-database machine learning
• Low latency OLTP reads and writes
• Auto-shards row-based storage across region servers
• Secondary indexes to support many access keys
• Dynamically scale from a few to thousands of nodes
• Automatically evaluates the query
• Consume fast streaming data

Platform’s dual model leverages columnar external tables. It provides cost-effective storage on cloud block storage, HDFS, or local files as Parquet, ORC, or Avro files. For hybrid computation, first-class tables also be joined with low-latency row-based storage.

Final Thoughts:

In this blog post, I have tried to cover the most popular big data analysis tools used for marketers. These tools can help you with all your big data issues so that you can concentrate on improving your campaign results.

Author Bio: 

Shreeya Chourasia, Writing is food to my soul and the quote that inspires me to keep learning is “Learning never exhausts the mind” by Leonardo da Vinci. Tech Research Online has given me a platform to do just that, I learn and I write and then I learn a little more.

The post 6 Best Big Data Analytics Tools for Marketers appeared first on Tech Research Online.

Social media has invaded our planet like a wildfire envelops the whole forest. Everything and everyone is on social media to a point where we need to sometimes sit back and wonder how we managed without it.

Social media has also provided marketers with a lot of data. This data is used by them to interact, segment, and target customers. The business use of social media has increased multiple folds with an ever-increasing amount of data.

However, it has become continuously difficult to manage such a hefty amount of data. Hence, now it has become important more than ever to arrive at a reliable, quantifiable, and justifiable conclusion.

In simple words, it has become very important to capture this data to further analyze and visualize it in a profitable way.

And this is where the Business Intelligence reporting tool swoops into our rescue. BI tools help businesses analyze huge data and find crucial insights that indicate the customer’s behavior.

What Are Business Intelligence Tools?

BI tools are a crucial part of marketing in any business. And like I said earlier, they help you to analyze data. They assist marketers to understand trends and drive insights to ensure imperative and calculated decision-making.

Some examples of BI tools are data visualization, dashboards, data warehousing, and reporting.

Why do Businesses Use Business Intelligence Tools?

Today, Big data has become the backbone of businesses. But, all this data can’t benefit anyone if we can’t make sense of it and use it to improve business outcomes.

So, as Big Data started to pile up BI software gained increased popularity.

Business intelligence allows companies to generate, track, and compile data on a huge scale. Businesses can better understand their customers by standardizing, aggregating, and analyzing that data.

BI tools offer useful features and functions that make business easier. They also provide marketing guidelines and allow them to better forecast revenue growth.

Why Does Your Company Need to Use Business Intelligence Tools?

Data has become an indispensable tool. For any business, it has become important to have a grip on their data. Other reasons include:

Smart decision making: BI tools help convert information into structured and analyzable insight leading to better business decisions and even better revenues.

Marketing goals: Boost its marketing function by improving sales information. This information helps in fine-tuning their marketing campaigns and in turn, makes them more profitable and effective.

Deliver Outstanding CX: BI tools provide businesses with customer insight to help them segment and identify profitable customers. It also helps attract the right prospects and meet growth targets.

Increase productivity: BI tools help automate tasks, prioritize work, and refine processes to improve business productivity.

Compliance and Data Accuracy: BI tools help businesses centralize data and expose inaccuracies to increased cost and any kind of brand damage.

Increased ROI: Businesses experience a major improvement in their ROI one all the about points are fulfilled. In business, everything sees a spike in performance right from sales deals, day-to-day efficiency, CX, and future strategies.

Once you have prepared your mind on taking up business intelligence tools you’ll need to find the one tool that fits your business needs. So, we have compiled a list of top business intelligence tools to help you choose from the best.

Top Business Intelligence Tools in the Market

#1. SAP

SAP Business Intelligence is one of the best BI tools. It is also the most useful and handy tool when it comes to advanced analytics solutions. This tool offers a wide variety of functions including real-time BI predictive analytics, planning & analysis, and machine learning.

Features that make this BI tool especially unique are data visualization, analytics applications, reporting & analysis, office integration, and mobile analytics.

SAP is a robust software and offers tons of functionalities intended for all roles including IT, end uses, and management.

Features:

• Flexible and transparent solutions
• Integration with any system
• Modular concept
• Easy setup and space utilization
• Allows a next-generation database system
• Combines analytics and transactions
• Provide On-premise support
• Provide cloud deployment
• Simplify data warehouse architecture
• Easy Integration with SAP and non-SAP applications

SAP is integrated BI software which is best suited for an enterprise-level application for open client/server systems. Their set standard provides businesses with the best business information management solutions

#2. Sisense

Sisense BI tool is a web-based end-to-end business intelligence platform. It provides fast analysis and exploration of data due to its approach to processing analytics.

The platform unifies data from all sources and then collects, integrates, and visualizes it for better data management. It also provides real-time data feeds with intuitive reports and dashboards.

Its functionalities include AI, business performance management, web analytics, data visualization, reporting, and predictive analytics.

This tool gathers all the crucial information of a business from all the sources and then unifies them into a single repository.

Features:

• End-to-end BI solution
• On-premise or cloud installation
• Access on web and mobile devices
• Drive fast data analysis
• Scaleable
• Integrates data from multiple sources
• Simplified workflow
• Real-time interactive dashboards
• Insights and visualizations across platforms
• Advanced analytics

Sisense doesn’t require any specialized user training and is suited for enterprises of all sizes and in diverse industries.

#3. Zoho Analytics

Zoho Analytics is a self-service BI cloud-based platform. The platforms help connect to a variety of sources to collect data and auto-merge data from popular business software.

This platform offers a wide range of functions including chart types, reports and dashboards, self-service BI, embedded analytics, drag-and-drop interface, scheduled data backup, multi-language support, data imports, email schedules, and many more.

However, some functionality that distinguishes Zoho Analytics from others is its features such as Al assistants for ease of collaboration, Android apps for mobile, and options for third party integration.

This software is also widely popular among businesses because it includes providing real-time visibility through various reports.

Its drag-and-drop interface, widgets, and charts allow users to create a customized dashboard. Additionally, team members can also share data and collaborate on tables and reports.

It can integrate with other apps including Microsoft Dynamics CRM, Hubspot CRM, Facebook, Twitter, YouTube, Google Analytics, and more.

Features:

• Cloud-based
• Self-service
• Installs on-premise or on-cloud
• Access to on-premise mobile and cloud systems
• Collects data from multiple sources
• Synchronization of automatic data feeds
• Drag and drop tools
• Dashboards, visualizations, and reports
• Shares reports and dashboards through apps and web page
• Workspace for collaboration

The drag and drop tools available in the software to help you create dashboards, visualizations, and reports don’t require any technical skills. Lastly, the platform is suitable for all business types, sizes, and industries.

#4. Tableau

Tableau Tool is a great self-service analytics and BI platform for data discovery and data visualization. It provides easy analyses, visualization, and data sharing.
The most special part of the platform is its capability to analyze data and present it in dashboards and reports. It allows for generating relevant insights and exploring new opportunities.

Its other functionalities include filter data, a list of native data connectors, data notifications, mobile-ready dashboards, dashboard commenting, automatic updates, server REST API, metadata management, and more.

Similar to others, this one also has an option for on-premise installation. It also helps businesses collect data from multiple sources such as SQL databases.

Features:

• On-premise and fully hosted
• Installs on-premise, public cloud, Tableau cloud
• Access on web and mobile devices
• Delivers intuitive and self-service analytics
• Integrates data from multiple sources
• Real-time visualizations

This tool can be used even by users without technical knowledge for intuitive and self-service analytics.

It can be customized to serve various industries such as education, communication, banking, healthcare, technology, real estate, and manufacturing.

Additionally, it offers three standalone products: Tableau Desktop, Tableau Server, and Tableau Online.

#5. Yellowfin BI

Yellowfin BI is an end-to-end analytics platform and business intelligence tool. The platform combines visualization, machine learning, and collaboration to makes assessing, monitoring, and understanding data easy.

Intuitive filtering allows it to filter through tons of data and open dashboards thanks to this tool’s flexibility.

It provides data preparation, AI-driven dashboards, analysis, and collaboration through reports. Its dashboard presents real-time data and drill-downs for information.

Features:

• Web-based, intuitive, and end-to-end tool
• On-premise or cloud installation
• Access on web and mobile devices
• Individual components
• Integrated analytics suite
• Integrates data from multiple sources
• Delivers an intuitive drag and drop interface
• AI-driven dashboards
• Collaboration through reports and visualizations
• Access and monitor business-related data
• Interactive reports
• Supports the business decision-making process

It works on-premise or in the cloud depending on enterprise needs. It is a single integrated solution developed for companies across varying industries and businesses of all sizes.

#6. Datapine

Datapine is an all-in-one BI platform for a comprehensive self-service analytics approach. It enables businesses to easily integrate different data sources, build interactive business dashboards, perform advanced data analysis, and generate actionable business insights.

It has the potential to connect all data sources in a centralized location to assist the business in data comprehension through detailed visualizations.

Datapine offers a variety of innovative features such as intelligent alerts, interactive dashboard functions, and predictive analytics.

It has been made seamless with its data integration capability allowing users to connect and analyze information across numerous sources.

Features:

• Self-service analytics
• Dashboards
• Share and report
• Embedded analytics
• Data warehouse and data security
• Makes complex data sets simple

The platform is simple and easy to use and even non-tech users can master it without much experience.

It’s perfect for all small, medium, and large businesses with its modern data dashboards. It provides businesses with a clear picture of their goals, progress, and other relevant information.

#7. Oracle BI

Oracle BI is an end-to-end BI tool that offers an integrated reporting, analysis, query, data integration, and alerting and management.

Its functionalities include almost all BI capabilities such as dashboards, alerts, proactive intelligence, ad hoc, and more.

The tool can help simplify analytics strategy by standardizing on one integrated platform. Also, it centralizes data models and metrics for a comprehensive representation of the business.

Furthermore, it helps business leaders to securely access and explores data. Predictive and statistical questions empower key decision-makers to find answers. It allows for creative storytelling with its visual analytics around any business.

Features:

• Connect directly to more Oracle sources
• Big Data for broader analysis
• Hundreds of pre-built functions
• Fast analysis with R scripts
• Rich data mash-ups.
• Cloud or on-premises installation
• Create mobile analytical apps without code
• Build apps responsive to any device
• Offer In-memory enhancements
• Faster query performance

This tool is great for businesses that need to analyse a large volume of data.

FAQs on Business Intelligence

Conclusion:

In this blog, we have tried to cover the top business intelligence software. However, it is important for any business that before choosing any business intelligence platform they first look at their specific requirements.

While most of these BI tools have many similar functions the way they perform and other differences can make a huge difference, But, if you are searching for the best business intelligence tool for your business, my suggestion would be to prefer BI dashboard tools more than others as they are easier to use.

So, instead of finalizing a tool purely based on its review, sit down with your teams and underline your needs and then select the right one. And, remember the best BI tool or the best business intelligence platform will be the one that can fulfill all your needs.

Author Bio –

The post Top 7 Business Intelligence (BI) Tools To Make Your Work Smarter appeared first on Tech Research Online.

Today is the age of advanced technology and the internet, you can do everything you want just by clicking on your computer. Article rewriters tools are also one of the advancements in the field of digital sciences.

There are thousands of websites that provide this facility. These spinners can help not only to improve the uniqueness of your content but also for removing plagiarism.

What is Rewriting or Spinning?

In easy terms, if we outline the term spinning, then it’s all about the rewriting of the paragraph or maybe the whole of the paper straight into your own words.

You may easily carry out this assignment by means of reading carefully the original and then write the paragraph in your own words.

For this purpose, converting each and every word by using their synonyms through thesaurus is important.

Thus, there is no need to bring about any kind of changes in the structure of the paragraph sufficiently by yourself because online spinners will do this job for you.

Proofreading the rewritten paragraph approximately 2-3 times definitely.

Why Is There a Need for Plagiarism Rewriters?

Most of the hunt engines search for unique content material. So, it is significant to make sure to exorcism data on your website or starting a blog if you are looking for a good state in the web world.

It will also attract visitors to visit your site regularly.

Additionally, the unique content provides acceptance to the search engines.  Thus, as an online marketer, you need completely extraordinary content on a daily basis, but creating or writing new concepts is not an easy job.

This is the very reason that article rewriters have become a hot topic today.

Even while writing the content in your own words, content writers mostly go through plagiarized content that puts them into critical trouble.

It is a fact that every essay, research paper, thesis material, and other coursework that you write, needs to be written in your own words and contain one hundred% original content, that is why each written content material requires to take a look at useful rewriters to avoid similarity and duplication.

Here you can get help through online Article Rewriter Tools.

What do Articles Rewriter Tools do?

• These article rewriter spinners would dig into your textual content and endeavor to alternate all the words with their synonyms.
• It additionally changes the sentence structure thus helping in writing content in a unique way with the same concept.
• If you have some content and also you don’t have any experience of writing it all then article rewriters are the best option to go.
• They perform their job pretty well most of the time however, they may affect the quality of your content material on a large scale. thus, proofreading is a must.
• Their services can provide you the unique content free of plagiarism.

How Does an Article Rewriter Tool Work?

Article rewriter tool operates with the aid of taking text and present it in another way by adding synonyms to it.

It provides you with unique content material in accordance with your original content that you input to rewrite.

They simply take a couple of minutes to do this. Almost all the article rewriters work in the same manner. Also, they are pretty easy to use.

Just copy your content in your selected rewriter tool that you want to rewrite and press the rewrite button below and results will be shown in no time.

Tools that help in Article Rewriting to Remove Plagiarism

These tools generate the best content which is meaningful and has a steady flow of words. A few of them are listed below

# 1 Sujoydhar

First on the list is Sujoydhar is a free article rewriter and plagiarism remover tool that automatically removes the plagiarism in an article for you and helps you in rewriting the content. As it is famous for its lightning-fast speed so it will instantly rewrite the part of the textual content.

Moreover, it can rewrite the lengthy textual content and supports up to 1000 words in just one spin. This character makes this tool more superior to many others.

The biggest advantage is that it is fairly simple to use and there is no hassle whatsoever. It asks you for no registration and sign-up.

One just has to type the paragraph from which the plagiarism needs to be removed and click the rewrite icon. This tool will paraphrase the content in just a click for you.

So far it is one of the best article rewriter spinners on the internet today.  Because it has extraordinary features such as speed, convenience, efficacy, handiness, and totally free, thus it is beating all other spinners on the entire web.

# 2 Hostarina.com

This website offers you a free article rewriter tool that rewrites your content automatically once you put it into the input box. The software instantly scans through all the words and alternates them with their suitable synonyms.

The biggest advantage is that it is quite simple to use. This tool is developed with advanced techniques so that it will rewrite the content in just a click for you.

# 3 Coderduck

Are you seeking out free of cost paraphrasing tools? There are many paraphrasing or plagiarism-removing spinners on the internet. However, most of them restrict the number of articles that you could experiment with within a day or for the life of your IP. You can check Coderduck for article rewrite.

Plagiarismhunt.com provides you limitless free access in a day. You can complete your research writing project with the usage of this paraphrasing software program. You may love this text rewriter.

However, if you want extra functions, you may simply opt to pay the monthly subscription and explore greater features. Finding a first-class device is a bit hard. Try it now and notice what you’ve to say approximately about plagiarism.net.

We are hoping this manual helped you to find the great plagiarism remover websites that you can use free of cost. Furthermore, students can also conveniently use these tools to rewrite essays and assignments.

# 4 Prepostseo

It is another very easy and handy tool for those who want to rewrite the content by giving the new shape of provided content with the same concept. Prepostseo article rewriter is the best tool that has no limits on rewriting the content in just a minute.

This spinner will help in generating a hundred % authentic content. It operates in a greatly unique and improved manner by the usage of the maximum appropriate statistical synonym for any word or phrase.

This technology characterizes in a similar manner to Google translate does. The best feature of this tool is to help you in publishing content free of plagiarism. This tool is 100% free of cost as well.

# 5 Azseotools 

With the assistance of this article rewriter tool, provided by azseotools website, you could create new & sparkling content at a low-price range. You don’t need to pay a freelancer or content writer to put in rewriting the content.

It uses artificial intelligence and millions of synonyms to understand the meanings of the content and ensure that written content makes sense to actual humans.

Most people, are reluctant to use these advanced tools and think that they lack the skills to use these tools of plagiarism remover.

However, in reality, you do not want very excessive technical competencies that will be needed to use this tool.

In fact, you can very conveniently perform these tasks and even beginners can also use them. What you need to do is simply copy the text of the content which you want to rewrite and paste it into a clipboard and the remaining task will be implemented by this free of cost rewriting tool.

Conclusion

Webmasters, bloggers, SEO managers, and content writers always want to create extraordinary content to improve their website’s ranking in search engine results.

So, using these spinners can be the best option for them. We have discussed the best five-article rewriter and every tool is unique in its own way.

Anyone can have access to them as they are free of cost. Once you have completed the rewriting of the content, you can check the plagiarism by using any excellent plagiarism checker tool just to check how efficiently the article spinner has worked.

Author Bio: 

Trevor martin writes Seo articles for digital marketing agencies, tech services providers and tech
tool users to make their ranking surge on google, He has worked for a number of well reputed platforms like check-plagiarism, softo.org, and many other websites. He is a regular contributor of marketing, tech and educational related articles or prepostseo.com.

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