Understanding the
rise of China's OEMs: Key players,
global ties, and future potential

In this new report, automotive industry analyst, Felipe Munoz, analyses the rapidly evolving landscape within China, alongside an overview of the main players emerging from China’s burgeoning automotive industry.

Learn about the key players, global ties, and future potential of Chinese car brands, and access the latest market data and intelligence.

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Singularity
AI SIEM 

About SentinelOne

SentinelOne is the world’s most advanced cybersecurity platform. The SentinelOne Singularity Platform detects, prevents, and responds to cyber-attacks at machine speed, empowering organizations to secure endpoints, cloud workloads, containers, identities, and mobile a network-connected devices with intelligence, speed, accuracy, and simplicity. Over 11,500 customers— including Fortune 10, Fortune 500, and Global 2000 companies, as well as prominent governments—all trust SentinelOne to Secure Tomorrow. 

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Strengthening Security
Operations with Data
and AI

About SentinelOne

At SentinelOne, we create autonomous technology solutions that think for themselves. Intelligent, data-driven systems that learn as they are challenged and evolve on their own—making human lives better and the world more secure.

The post Strengthening Security Operations with Data and AI  appeared first on Tech Research Online.

Strengthening Security
Operations with Data
and AI – Infographic 

About SentinelOne

At SentinelOne, we create autonomous technology solutions that think for themselves. Intelligent, data-driven systems that learn as they are challenged and evolve on their own—making human lives better and the world more secure. 

The post Strengthening Security Operations with Data and AI – Infographic appeared first on Tech Research Online.

The Architect’s
Checklist

About SentinelOne

SentinelOne is the world’s most advanced cybersecurity platform. The SentinelOne Singularity Platform detects, prevents, and responds to cyber-attacks at machine speed, empowering organizations to secure endpoints, cloud workloads, containers, identities, and mobile a network-connected devices with intelligence, speed, accuracy, and simplicity. Over 11,500 customers— including Fortune 10, Fortune 500, and Global 2000 companies, as well as prominent governments—all trust SentinelOne to Secure Tomorrow. 

The post The Architect’s Checklist appeared first on Tech Research Online.

The Complete
MDR Buyer’s Guide

Confidently evaluate a Managed Detection and
Response (MDR) solution for your security program 

About Rapid7

Rapid7 is a leading cybersecurity company dedicated to creating a more secure digital future. With a portfolio of best-in-class solutions, Rapid7 empowers security professionals to manage risk and eliminate threats across the entire threat landscape. The company fosters open-source communities and cutting-edge research, using these insights to optimize its products and arm the global security community with the latest in attacker methodology.  

The post The Complete MDR Buyer’s Guide appeared first on Tech Research Online.

The Tech Leader's Guide
to Remote Work

Master the transition to a remote-first environment and
drive sustainable success 

The post The Tech Leader’s Guide to Remote Work appeared first on Tech Research Online.

According to several studies, plagiarism is one of the giant evils in the world of writers. It is a rampant issue that results in the loss of money, reputation and career. The reason behind this negative influence is a poor piece of work without proper citation.

Since nobody wants plagiarism in their work, we have prepared a list of Plagiarism Checker tools to help you check plagiarism while writing. So, without any further delay, let’s get to the list of six tools.

The 6 Best Plagiarism Checkers:

After testing several plagiarism checkers on different types of content (academic, blog, etc.), we have compiled a list of the six best tools. So, let’s get to their honest reviews.

1. Plagiarismchecker.ai

This tool is on our and in many people’s lists for a reason. The sleek UI, effective results, and many other reasons make it a go-to tool for many professionals working online.

Here you can see in the picture of this tool that it offers a very easy-to-understand user interface, and even a user with no prior knowledge can get the most out of it.

This tool is entirely free and can be used as many times as a user wants. The accuracy is also appreciable. It can detect all sorts of plagiarism, even content that is generated through AI or article spinners that use the GPT3 model.

How does this tool work?

The working of this tool is easy. It allows you to upload a document or copy and paste the text you want to check against millions of web pages and it will come up with results in seconds after you hit the button. Here are some simple steps you can follow:

• Copy and paste the text you want in the field given
• You can also upload, drag or drop files
• You can change the language if you want, it offers 25 different languages to choose from.
• Hit the button under the field and eventually, in some time you will get a precise report with the percentage of plagiarism detected and phrases or sentences coming under plagiarism will be highlighted.

Why this tool?

• Freedom of choosing upload options
• Offers different languages
• Sleek UI, easy to understand
• Fast and accurate
• Free and requires no registration or signup

2. Check-Plagiarism

The plagiarism checker of Check-Plagiarism.com is a freemium tool. So, this tool can check the plagiarism of 2000 words for free. However, if you want to increase the word count limit of this tool, you must purchase its premium plan.

This tool performs sentence-wise plagiarism scans with the help of AI algorithms. So, it quickly compares the entered text with billions of online resources and finds traces of plagiarism. If this tool finds plagiarism, it allows comparing the plagiarized information with its (original) source.

Why Should You Prefer This Plagiarism Detection Tool?

• Sometimes, you want to ignore a specific online resource while checking the content’s plagiarism. In such a situation, you can add the URL of that online resource to the ‘Exclude URL’ box of this tool.
• The plagiarism checker of Check-Plagiarism.com is a multilingual tool. So, besides English, it can check plagiarism in 11 popular languages.
• This freemium plagiarism checker has one of the fastest and most accurate plagiarism-checking engines. So, compared to the other free tools, you will find accurate and quick results here. That is why it is the best tool for checking plagiarism for free.
• The 2000-word count limit is the most you’ll get in the free version of any plagiarism checker. So, its free version is ideal for checking the plagiarism of lengthy content.
• You can add the functionality of this plagiarism checker to your platform through its:
  WordPress plugin.
  Plagiarism APIs.
• You can also download this tool’s Android, iOS, or macOS applications to enjoy the same features on other devices.

Some Drawbacks of This Plagiarism Checker Tool:

• If you are a visitor, you can’t save the statistics of the current plagiarism scan in the form of a plagiarism report. That’s because this tool only allows premium members to create a plagiarism report.
• The result presenting module of this tool has a bland interface.

3. Grammarly:

The plagiarism checker of Grammarly is a paid tool. So, if you already take assistance from the free version of Grammarly for proofreading your content, you will have to purchase its premium plan to try its plagiarism checker.

Previously, the plagiarism detector of Grammarly was not good enough because of its limited database. But recently, the developers of Grammarly have made several improvements to its plagiarism-detection module. Therefore, it has become one of the best paid plagiarism checkers.

The database of this plagiarism checker takes assistance from the ProQuest database and many books, journals and other sources to check for content originality. Moreover, its extensive database also covers more than 16 billion web pages. So, now, you can trust the results of this tool.

Why Should You Prefer This Plagiarism Detection Tool?

• Besides plagiarism detection, Grammarly is a must-have tool for every writer because it is the most popular, powerful and nearly accurate document proofreader.
• This tool is rich in terms of integration with other applications. So, you can download its browser extension and Microsoft Word add-in to enjoy its functionalities on your favorite word processor.
• The official website of Grammarly also has a text editor that allows you to type the content and check it for grammatical, punctuation, typos and plagiarism issues.
• You can create a plagiarism report and save it to local device storage. This feature makes it easier to share the plagiarism progress of your work with your clients.
• Grammarly can also notify you about your weekly plagiarism reports by sending emails to the registered email address.
  You can add the functionality of this plagiarism checker to your website by trying its:
  WordPress Plugin.
  API support.
• This plagiarism checker allows you to compare the original and plagiarized versions of documents, making it easier to differentiate between both.
• Once this tool has finished the scan for plagiarism, it will highlight the plagiarized phrases and provide the (original) sources of plagiarized information. This way, you can quickly navigate to the (original) source of plagiarized information.

Some Disadvantages of This Tool:

• Grammarly’s plagiarism checker can only check the plagiarism of content written in English.
• Grammarly’s plagiarism detector is a bit stricter than other top-notch plagiarism checkers.

4. Chegg Writing Service:

The plagiarism detector of Chegg writing service is the second paid tool on this list. However, unlike the first three tools, this Plagiarism Checker Tools is ideal for dealing with academic content. That’s because its backend algorithms work similarly to Turnitin’s backend algorithms.

Once you have uploaded the content into this tool, it will compare the uploaded data against billions of web pages. So, if this tool finds any traces of plagiarism, it will pinpoint those traces and provide suggestions to eradicate plagiarism from your content.

Why Should You Prefer This Plagiarism Detection Tool?

You will see an individual plagiarism percentage for each source if you have copied content from multiple sources.

Once you have purchased the premium plan, there will be no limitations on the document length in this tool. So, like Grammarly’s plagiarism checker, this tool has no word count limit.

Since Chegg is a writing service, you will get additional benefits with this plagiarism checker. For instance, you can take assistance from its:

• Readability checker and determine whether your content is reader’s friendly or not.
• Expert grammar checker to check your content for grammatical mistakes and typos.
• Besides the conventional text uploading ways, you can directly import the document file from Google Drive. So, if you take assistance from Google Docs to type your documents, you won’t have to export your document.
• Since this plagiarism checker is from a writing service, it will assign a score to your document based on its originality and content quality. However, if you want to increase the assigned score, you must follow its suggestions.
  

  Some Drawbacks of This Tool:

  Like Grammarly, this plagiarism checker can only check the plagiarism of content written in English.
  Its scope is only limited to Academic papers.

5. Scribbr

The fifth tool to check the plagiarism of textual content is the ‘Scribbr Plagiarism Checker.’

The plagiarism checker of Scribbr is a Turnitin-powered plagiarism detector. So, it takes assistance from the Turnitin plagiarism detection technology to check the plagiarism of uploaded content. That is why its results are similar to Turnitin’s plagiarism checker.

However, unlike Turnitin, which has a knack for detecting all types of plagiarism, the plagiarism checker of Scribbr specializes in identifying heavily edited text. So, if you want to check the traces of paraphrase-plagiarism in your content, this tool is ideal for you.

Why Should You Prefer This Plagiarism Detection Tool?

This plagiarism detector’s database covers over 99 billion websites and 8 million publications. So, courtesy of its extensive and Turnitin-powered database, you will get accurate results.

Besides an extensive database, the plagiarism checker of Scribbr can check content plagiarism in 20 languages. So, the language support in this tool is more extensive than the first and second tools.

After scanning the uploaded document, if it contains plagiarism, this tool will provide the domain name, database type and the number of matching words in the ‘Top matching sources’ This feature makes it easier for you to identify the sources that need citations.

This tool takes assistance from different colors to highlight the plagiarized portions of text. Hence, you can quickly recognize the plagiarized parts in the document.

Like most plagiarism detectors, this tool also compares the original and scanned content side-by-side. This way, you can compare the parts of information you have copied from a source without leaving the plagiarism report.

Most people do not consider self-plagiarism as a type of plagiarism. But in this tool, you can upload your previous assignments and compare them with your latest work to check for self-plagiarism.

Some Negative Points of This Tool:

The plagiarism checker tools of Scribbr cannot integrate directly with any tool. So, the only way to enjoy the features of this tool is to access it through its official website.

This Plagiarism Checker Tool is unsuitable for checking multiple documents’ authenticity.
Compared to the other tools, its pricing plan looks expensive because it charges according to the document’s word count.

6. Quetext:

The plagiarism checker of Quetext is the third freemium tool on this list. However, compared to the other freemium tools, the results of its plagiarism scan are sometimes deceptive. That’s because sometimes, this tool attributes several sentences to various sources.

It takes assistance from Lightspeed recognition and deep search technology to quickly scan and compare the uploaded content with its database. So, its plagiarism detection engine is one of the fastest ones.

Why Should You Prefer This Plagiarism Detection Tool?

• Like the second tool, the UX of this plagiarism checker is rich because it takes assistance from different colors to indicate plagiarism.
• Courtesy of its Lightspeed recognition technology, this plagiarism detector quickly brings the results, irrespective of the document’s length.
• Its free version is enough to check the quality of its plagiarism-detection engine.
• The database of Quetext contains more than 1 million journals, extensive searchable books and website libraries. So, this plagiarism checker takes assistance from deep search to quickly compare the uploaded content against the contents of its database.

Some Disadvantages of This Tool:

• This Plagiarism Checker Tools has made the last spot because sometimes, it attributes several sentences to multiple sources.
• The free version of Quetext can only check the plagiarism of five documents.
• If you haven’t purchased its premium plan, Quetext will only scan the first 500 words of your document.
• Since this is a freemium tool, you can only download its plagiarism report as a premium member.

Conclusion

All in all, the first two tools provide decent results as freemium tools. However, if you want a paid plagiarism checker for your work, you should read the above discussion because each paid plagiarism checker tools is best for a particular type of content.

However, there is also another method to remove plagiarism which is to rewrite your content. Undoubtedly, it’s good to have six Plagiarism Checker Tools to choose from, but you shouldn’t expect the results to be identical. That’s because the databases and algorithms that work at the backend of most plagiarism detectors are different. Therefore, it is essential to look at the features that each plagiarism checker tool offers and how those features affect your work and play.

The post Best 6 Plagiarism Checker Tools appeared first on Tech Research Online.

The introduction of data visualization in the finance sector has brought revolutionary winds that have transformed the industry from one level to the next. This feature has ended the use of PowerPoint presentations in the processing and delivering of significant data touchpoints within the finance sector.

Approximately 60% of the teams using data visualization rate their skills better than companies that do not utilize this feature. However, it is also evident in terms of production since visualization has the power to skyrocket the rate of production. Visualization has proved the fact that a single picture is worth a thousand words.

This means that using visualizations such as graphs and charts to pass information is more convenient when compared to any other means. All you have to do is change the picture into impactful data that portrays a powerful message regarding your business that you need your market audience to hear.

But what is the meaning of data visualization in simple terms? It refers to the generation of visual presentations of data that incorporates a clear communication of various data insights in the form of charts and graphs. The data is focused on helping the respective leaders make mindful decisions that propel the organization’s success.

The utilization of data visualization within the finance sector has dramatically impacted how things are done. This article discusses more the impact of data visualization and charts (line chart, bar chart, Likert scale chart, slope chart, donut chart, etc.) within the finance sector. Read through for multiple actionable insights!

Enhances Easier Interpretation of Finance Data

The finance sector deals with lots of data sets that represent different aspects of the company. However, this data needs to be processed and delivered in a simplified version so that everyone can easily understand the ultimate message.

Initially, the duty of interpreting finance data was imposed on data analysts who had to ensure that everyone understood the business data. This was a daunting task since the finance sector is full of jargon and complicated datasets that can hardly be converted into a simple format using the manual way.

The exciting thing with data visualization is that it comes with tools that take part in data processing, generating the simplest version of every bit to ensure that anyone can read the data. Remember that charts and graphs give readers a clear picture of the context surrounding data context within the company.

Visualization eliminates the need for subjective interpretation of data to ensure that the point is delivered and well received by the intended audience. Note that poor interpretation of data within the finance sector can result in significant losses that are likely to have a long-term impact on the respective company.

Quick Interpretation of Results

Clarity is a crucial thing in the finance sector. Besides, many departments within the finance sector work independently to attain a uniform objective and contribute to the company’s success. Every department has its roles and goals to attain within a specified time frame.

After the stipulated duration, every department needs to pass their results to evaluate their performance and analyze if the intended goal has been attained. Note that visualizing the data helps the management team understand more about the direction in which every department is heading.

This is contrary to the traditional finance results that required lots of analysis for one to understand the intended message. Data visualization focuses on the major sections of the data giving you a clear picture of what is happening across the departments.

Once the management team realizes that the departments are not performing accordingly, the next step is taken using the data available at hand to streamline activities across the departments. Remember that the data incorporates features that can help the management team streamline operations to enhance the company’s success.

Efficient Interpretation of Larger Quantities of Data

Companies operating within the finance sector generate a significant volume of data that needs to be processed and presented in an orderly manner. The management team is responsible for analyzing every bit of the data to ensure that every aspect runs smoothly across the business environment.

Due to the fact that data visualization is capable of processing large data quantities, it also makes it easier for the management team to analyze vast amounts of data efficiently within the shortest time possible. It gives room to see the bigger picture in a concise way and filter fluffs that do not have any impact on the company’s operations.

By doing a detailed data analysis, visualization simplifies every aspect, making it easier for prospects to understand every word presented to the target market. The data is direct to the point eliminating the need to waste much of your time translating the information to the public members.

Unlike the traditional way of data presentation, you don’t need to calculate anything to get the intended values to use. You only have to focus on your points of interest and get everything you need from the presented information.

Detecting Patterns and Anomalies within the Industry

The finance sector is constantly changing depending on the market demands. Everybody is searching for better services and products that are worth every single coin they give out. This means that to survive in the industry, you need to work with the trends within the industry.

You can only detect changes in the finance industry with the aid of data visualization. Through visualization, you can easily identify the significant changes within the industry that are likely to affect the normal running of your business. Once you identify possible changes, you need to be aggressive and incorporate all the features in your business operations.

Data visualization gives businesses within the finance sector a competitive opportunity across the industry, making them stand out by keeping them updated in the long run. This feature eradicates the chances of incurring losses and gives businesses a better opportunity to succeed in the industry.

In Conclusion

According to the report, data visualization has greatly contributed to the general growth and development of companies within the finance sector. Those mentioned above are some of the top impacts of visualization in the finance industry.

The post The Growing Power of Data Visualization in Finance appeared first on Tech Research Online.

“We live in an era of big data.”

In the past year with the growing amount of Big Data, datasets have become so complex that traditional BI solutions either fail in getting, dealing, preparing, or just understanding the data.

But data is everywhere and growing with every click. We need to find ways to handle it and leverage it for our benefit.

Google, Netflix, Spotify, Facebook, and Amazon are leveraging user data and mixing it with their unique profile to create new products. Such products are more likely to be loved by users.

Similarly, governments and hospitals, are utilizing augmented analytics to find efficient ways to administer services.

If an organization wants to thrive in the information age, it needs to uncover the insights hiding in data. Digging through this data is tedious and tough but the right tools can make this process efficient and simple.

In this blog, we are going to help you identify the solution to your changing data needs and their relation with augmented analytics.

What is Augmented Analytics?

According to Gartner’s 2018 research, Augmented Analytics Is the Future of Data and Analytics, “Augmented analytics uses machine learning and artificial intelligence (ML/AI) techniques to automate data preparation and forensic discovery. and sharing. It also automates data science and ML model development, management, and deployment.”

Augmented analytics is artificial intelligence that will change everything about business intelligence and business analytics.

Machine-Generated Business Intelligence

Traditional BI

Analytics and business intelligence have been around for quite some time now. In 1958, Hans Peter Luhn, an IBM researcher, published a white paper “A Business Intelligence System.” in the paper, he posited that “information is now being generated and utilized at an ever-increasing rate because of the accelerated pace and scope of human activities.”

According to him, to process this we will require new technological tools as organizations will need all that information for making better organizational decisions.

Traditional BI was the first iteration of general-usage tools that focused on connecting to single databases and generating reports.

Analysis was unsophisticated and under a small class of dedicated analysts. But there was immense potential for improvement. This improvement came in the form of the next gen-analytics and self-servicing tools.

Self-Service BI

The drawbacks of traditional BI, including the need for skilled technical workers, lengthy insight times, and poor-quality data analysis, were addressed with self-service BI. Today, almost all the BI tools claim to be self-service.

Today, Self-service BI solutions possess user-friendly graphical interfaces. These systems can handle millions and billions of data drawn from multiple sources: in-house databases and cloud storage.

This system can be used by non-technical users and get them ready for analysis to speed up insights and eliminate bottlenecks. Modern BI solutions make data security, governance, and access control simpler.

Different Data Approach

Lastly, self-service BI systems have dashboard-building features. These features offer a wide array of infographics and easy color selection to make insights look good. This gives users across the board access to insights and enables them to tag other users and add them to dashboards. This leaves no need to reinvent the wheel. However, these enhancements aren’t enough and there is an immense need to approach data differently.

Business Intelligence Changes Over Time

BI tools are continuously evolving from monitoring performance to being sophisticated Artificial Intelligence-driven analytics platforms.

Thinking About Data and Analytics Differently

Modern analytics and BI systems have a lot going for them, but there are still places for innovation. We need to re-think about data itself. Data preparation could be simplified and the business-led aspects of the industry need to be countered.

While modern BI solutions can handle greater volumes of data, even with self-service systems, cleaning that data is still a manual process. This leaves room for human error before the analysis has begun!

With Augmented analytics systems, AI components will improve this process. BI solutions are great at showing users the insights but there is a small problem, that’s all they show. If someone wants to know exactly what they’re looking for, then chances are they’re going to find it leaves little room for unexpected results that they might have not been thinking of. This is exactly the kind of information that can have a huge impact on the organization.

The AI-assisted system can help humans to tackle this problem and get more out of their analyses. Easy-to-use analytics tools, made by AI elements can change organizations and allow users to make smarter decisions.

Another huge reason is the data itself. Human activities never stop making new data as data comes from countless human and machine sources. This poses a huge challenge for IT departments to marry these disparate data sources.

By relying on BI to make decisions, they will understand that they can’t rely on a small cluster of analysts to do all the crunching and database management.

In a modern company, insights can positively impact workers, and the next big idea could come from anywhere. Traditional BI doesn’t work for the new world. So, what does the future of augmented analytics and BI look like?

Looking Toward the Future

Data is called the “new oil.”

Why?

Because companies see it as a powerful resource.

And, if you want to leverage this resource, it’s not enough to have just a small team to plumb data for insights. Data access has to be democratized, especially with the stakeholders. This will enable them to access intelligent, self-service solutions to find answers to important questions that matter most to them, with game-changing analyses.

Besides, data stored in off-site, proprietary, and third-party databases have to be ingested easily, securely, and with fewer resources for IT. This will quickly reveal insights and you can easily share them with others in the company.

Democratization and Self-Service:

With technology becoming more and more ingrained in organizations, frontline workers have become more tech-savvy than ever. But there just aren’t enough database experts to handle the tasks to govern and clean the data.

Companies can leverage an AI-assisted self-service tool to derive insights on the scale of modern businesses where and when they need them with an easy-to-understand interface.

Delivering Maximum Value:

Adding data to analytics software is the most difficult of getting insights. In the Modern BI era, we are seeing solutions capable of handling disparate sources such as cloud storage, in-house databases, app APIs, CSVs, and live data streams to perform complex analyses.

But what if BI tools became smart enough to understand the connection between data sources? That’d be a game-changer.

There has been a great demand for options for analyzing data and sharing results. The interface needs to have multiple ways to access it and make sense. Users also want a social way that provides simplicity to share their insights.

Advanced modern BI systems allow the user to interact via chatbots and AI assistants like Ok Google and Alexa. AI assistance will even suggest people share findings with a fast process of disseminating findings to key members.

What’s Next for BI: Augmented Analytics

Augmented analytics and BI tools, in the future, will be quite different than the current tools. Augmented analytics, today, integrates AI into the BI process to help in data preparation and insight discovery. This will change with the subtle integration of artificial intelligence and natural language processing into augmented analytics.

In the future of augmented analytics, data ingestion, understanding relationships in data, insight discovery, and interaction with the platform will become more streamlined.

An intelligent augmented analytics BI system will start helping users when they begin interacting with it. Instead of a manual data cleanup process, data ingestion will be radically simplified and AI components will do much of the heavy lifting.

AI elements, within a few years, will surface these relationships via visualizations. This will allow users to drill down and look for more insights. Seamless processes from data ingestion to insight searching will be a huge time saver.

Augmented analytics systems will also handle Big Data as companies already have data needs in billions. Despite the amount of data or its origin, these smart systems will handle them. They will also understand the differences between the datasets, how they interact, and how to query them for results. Instead of waiting for the users to perform analyses, these systems will be active in interweaving and analyzing the data.

If a user is actively searching for new insights, AI systems will help them prepare. However, even at this stage, it will be different under the augmented analytics framework. AI in augmented analytics will be free of human biases and reveal crucial insights that humans never realized were important. They will do this by observing the connections in the ocean of data and suggesting relationships.

Moreover, advanced machine learning algorithms aren’t biased, or bound by preconceived notions. They will deliver insights where they are found and will even become spatially aware of it.

Once the insights are served, these smart systems will be able to walk users through the data and help them gain understanding. This is very opposite to them just giving the information. This change will extend beyond using the platform as many modern BI solutions now have mobile apps. Chatbot or Alexa integrations have allowed users to interact with the data in different ways and analytics will keep building on this trend.

Augmented analytics and BI will become immersive as new insights and data will be accessible.

Conclusion

Data is now Big Data. Countless users and devices are creating new digital records every second. This data is being processed and stored in complex ways. However, traditional technology is unable to handle the ever-mounting information. Hence, we need more powerful and robust AI-augmented analytic systems to make sense of this data.

Every organization and government needs an augmented analytics platform to connect to these databases to find relationships within the data. These relationships are then converted into crucial insights with the help of human users and effortlessly shared across the entire organization.

However, in the coming year, they will also need ways to work with Big Data, especially one that goes beyond the usual analytics systems. This data can completely reimagine how users can relate to data. Augmented analytics will change how users experience analytics and change the world by serving up unimaginable insights.

The post Augmented Analytics: Future of Business Intelligence appeared first on Tech Research Online.

Business Intelligence (BI) tools are the talk of the town!

With the increasing importance of data in the business world, business intelligence tools have taken center stage. More so because, they can make the complex task of retrieving, analyzing, transforming, and reporting data simple and less mundane.

Today, most companies use BI tools to empower their teams with the right data. Though there are plenty of tools available in the market, Microsoft’s Power BI is the best interactive data visualization and analytics tool for business intelligence (BI).

The best part about Power BI is that it offers many advanced functions for data analytics and you don’t have to be an expert to leverage it.

We are not going to tell you how to do all the things you possibly could with Power BI. But we have touched upon this subject in our previous blog, you can read more about it here.

In fact, it is very useful, regardless of the knowledge of data analysis. In this blog, we bring to you the top 7 tips on how to make the most of Power BI reports. Let’s get on with it:

Tip 1. Keep It Simple

Power BI offers an increasing number of visualizations that are available in the Power BI gallery. With this larger gallery of visualizations, you might feel overwhelmed to use all of them at once.

But there have been many instances where people try to use multiple features and they often fail. This is mostly because when you put too many things on a Power BI dashboard your users will not necessarily find all the little features and click on all the slicers.

In fact, for many of them, understanding the dashboard can be quite overwhelming. Hence, when you are designing a Power BI dashboard for ‘ordinary people,’ make sure it’s simple, easier, and clearer. So, focus on simplicity!

And, remember, don’t fear the old-school tables as they are still the best way to present raw data. Also, try to avoid pie charts and treemaps for this data as users cannot see the difference between pie fields.

Let me give you a better idea, below is the report for the sales volume per region. Take a look at it and try to tell which area among red and orange is bigger.

The report shows sales volume per region in the form of a pie chart which makes it hard to differentiate between sales in Europe (red) and sales in North America (orange)

On the other hand, look at this report below:

The report showing sales volume per region in bar graph format which provides simplicity when differentiating between sales in Europe (red) and sales in North America (orange).

Tip 2. Context

One of the coolest features that you’ll find on Power BI is the cross-filtering capability. The software allows you to first connect two different charts with data and put them next to each other.

Now, when you’ll click on an element of one chart, the other one will be automatically filtered based on what you clicked.

This feature is immensely helpful for data comparison, kind-of-visual drill-downs, and simple analysis. In fact, you can actually use three ways of filtering and connecting data. This will make your analysis experience much better and easier.

Let’s consider the example of project management: You can see time reported by people (top bar in the below example) and the time reported each month (the bottom bar). Here, you can see the different behaviors the interactions provide.

Besides, a lot of data elements might greatly influence the ease of use of the report, especially for not advanced users.

Tip 3: Divide and Conquer

Filters are the most basic concept of data visualization and yet you will be surprised by finding how many filtering possibilities there are in Power BI. Here, are some of the most obvious ones.

Basic Report Filters Panel:

Visual Level Filter filters data only at the selected visual level to have some background data only for filtering.

Page-level filters are applied to all elements on the page

Report-level filters are applied to all pages to see the data in the same filter.

You select a filter and then immediately move to the next page. The filter will stay selected which will help you to see data in the same context:

Report filters panel – for those who are supposed to go through pages to see data in the same filtering context.

Two In-canvas Filters:

Slicers (in-canvas filters) – are available as single or multiple selection dropdowns.

Cross-filtering – can be used instead of slicers to include additional information. For example, you can create a checkbox list from a vertical chart and use it just for filtering by just clicking on the bar to filter out everything else:

Again, let’s consider the previous example: you have a multiple-page report with pages that gives you an overview of hours or details of time reported under particular tasks.

So, when using in-canvas filters, you need to select the project on each page individually. However, when using a report level filter, it is still selected when you browse through different pages.

Tip 4. Create Hierarchies

If you want to show data analytics on various levels of granularity using the same visualizations, hierarchies are your best bet. For instance, a program manager might be interested in project progress and time reported per month, while a project manager could be interested in a weekly level, in a project management domain.

In such a case, creating a separate report is not an option as you will then end up managing a large number of cases. The solution to this problem is to design a report in such a way that it can be used by both. Here, the hierarchies can come in really handy.

You can use hierarchies in three ways:

• It can be based on the data source, basically present in the data model
• It can be based on date and time data, basically, present any time data as a Year/Quarter/Month/Day hierarchy.
• It can be based on more than one dimension. It will not make them visible but allow them to drill from one another.

Once done, the small arrows in the corner of the chart can go up and down the hierarchy levels. With the help of this, you will be able to achieve different perspectives from the same visualization and report.

Tip 5. Focus on Quality, Not Quantity

Power BI offers so many features that some people could easily end up making a Picasso-like analytical painting. Just remember, you can add as many effects and colors as you want but that doesn’t mean it will hold much value.

With Power BI, you will be able to produce any number of beautiful charts in a matter of seconds with any number of data pieces.

Yet, it is more important than the time you spend on the tool should be spent on trying to visualize crucial information in that space. Your ultimate goal should be to present clear and easy-to-digest information to potential users at first sight.

Conclusion

The tips and tricks we have shared in this blog are the very basic concepts that can help you create powerful reports. They should be simple and easily understood by regular users to create an impact.

These tips can be easily incorporated by people across project management, finance, and development practices. They all focus on the users’ needs due to their simplicity and spend more effort on the most efficient way to tackle the particular piece of data.

The post 5 Power Tips for Microsoft Power BI  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.

Introduction

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

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.

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.

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

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.

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.

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.

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.

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.

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