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The 7 Best Data Visualization Tools

Best Data Visualization ToolsBusiness intelligence tools are primarily used by industry professionals to analyze large amounts of raw dataalso known as “big data”into perceptible data points. However, doing this is not enough as you must also present this data in a way that is easy for the general public to understand.

For this purpose, you might want to use some data visualization tools to present your data (even real-time data) as graphs, dashboards, interactive visualizations, interactive charts, orstandard chart types. There is a wide range of choices available in the industry for big data visualization. You want to use the best data visualization tools out there.

To shed light on the best data visualization as part of your decision-making process, we have come up with our picks for the seven best data visualization tools.

QlikView

One of the best data analytics platforms available on the internet is Qlik with its QlikView tool. The majoradvantage of data visualization software like QlikViewis that it offers a fully customizable setup and artificially intelligent engine.

It also boasts a wide array of features that are ready to use. Qlik uses its powerful and efficient data visualization capabilities to round up all the raw data from every nook and cranny of the enterprise.

It then uses the artificially intelligent engine to catalog the data into an analytics-ready format for people to use. Another major advantage of this product is that it is embedded everywhere.

From data input acquired from IoT devices in manufacturing plants to thepoint of sale devices, Qlik is embedded everywhere. It helps you analyze and improve several aspects of your organization.

Datawrapper

Datawrapper is an online data source for infographics which creates effective and creative charts and maps for you. Media professionals and large media companiesmainly use this toolwhen presenting the data in charts and maps is necessary.

The user interface of this tool is very intuitive,and new analysts canquickly get used to using it. Creating maps and charts with this tool will feel like a breeze as uploading spreadsheet data is also quick and easy.

There is a variety of charts and maps available on the website to choose from. The maps are created to be interactive as they use color regions to show the differences in data values. You can also make the markers different sizes and colors to show thevariance and magnitude of a particular range of data.

Google Analytics

Perhaps the biggest name on the market for business intelligence is Google Analytics. The major selling point is that it is free to use for both web and mobile applications. Many organizations use Google Analytics tools for self-service business analytics and data visualization as well.

Even though this is a powerful and free tool for use, the user interface is fairly difficult to understand and operate. However, their return oninvestment (ROI) tool trumps that minor inconvenience.

The powerful features within the engine allow you to determine your own audience and also helps you identify how your audiencenavigates to your website. This way you can optimize and invest in those particular areas where your greater source of traffic is.

Domo

DomoWith top-of-the-line collaboration facilities and a strong artificial intelligence engine, Domo has a prominent spot on our list. Domo is a fairlytricky tool to learn as there is a very steep learning curve involved with using it.

You have to invest a lot of your time and money on hiring trainers to get your employees familiar with the product. While it is missing modern components like machine learning and natural language processing; it still stands out because of its versatile and diverse data visualization features and the impressive set of plugins it offers.

Tableau

One of the oldest stakeholders in the business intelligence industry, this data visualization software has proven itself to be consistent with their top-notch facilities. Tableau’s data visualization and business intelligence tools are highly sophisticated but have proven to bechallenging for new analysts or general users to learn.

The learning curve is very steep and requires a lot of time and effort. However, with this sophistication comes a high quality of data visualization tools. Tableau’s tools help you instantly connect with the data elements inside your spreadsheet file.

Tableau also offers a large variety of data visualization tools to help you get the right kind of visualization for your data.

SAP Analytics Cloud

SAP Analytics Cloud is one of the best data visualization tools due to its real-time processing capabilities and data streaming power. The SAP Analytics Cloud provides you with an interactive user interface that makes it easy to track the key performance indicators (KPIs) of your business.

It processes the data in real time and updates your track on the dashboard. One of the key highlights of this tool is its machine learning capabilities. This data visualization tool heavily relies on machine learning to keep up with the changing trends in the business.

Microsoft Power BI

Microsoft combines powerful analytic tools and an interactive user interface with its Microsoft Power BI tool. Microsoft Power BI provides different subscriptions plans, each with their own benefits.

We recommend the premium plan as it offers more storage and fewer refresh cycles. The learning curve with this particular data visualization tool is very short as the UI is intuitive and easy to use.

Most users are familiar with the style of which Microsoft boasts. Connecting spreadsheet or CSV data with desktop or web applications is also relatively easy. It lets you have a look at the uploaded data before uploading it to the analytics engine. With 74 data connectors at their disposal, Microsoft Power BI is definitely the tool to go for.

Wrap Up

Business intelligence is a fast-growing trend in the industry. It is prone to changes and ease of use. While most data visualization tools are complicated to use and sophisticated, the trend is generally moving toward easieranalytic tools. so that more general users can successfully utilize these tools without needing much training.

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