Big Data Visualization Tools You Can Use for Predictive Analytics - dummies

Big Data Visualization Tools You Can Use for Predictive Analytics

By Dr. Anasse Bari, Mohamed Chaouchi, Tommy Jung

Big data has the potential to inspire businesses to make better decisions through predictive analytics. It’s important to be aware of the tools that can quickly help you create good visualization. You want to always keep your audience engaged and interested.

Here are some popular visualization tools for large scale enterprise analytics. Most of these tools don’t require any coding experience and they are easy to use. If your raw data is in Excel sheets or resides in databases, you can load your data into these tools to visualize it for data exploration and analytics purposes. Alternatively, you may have the results from applying a predictive model on your data ready on spreadsheets, so (or and) you can also use these tools to visualize those results.


Tableau is a visualization tool for enterprise analytics. With Tableau, you can load your data and visualize it in charts, maps, tree maps, histograms, and word clouds. You can run Tableau as a desktop application a server, or a cloud-based solution.

Tableau integrates with many big-data platforms, such as R, RapidMiner, and Hadoop. Tableau pulls data from major databases and supports many file formats. Tableau for enterprise isn’t free. For academic purposes, Tableau can provide free licenses.

Google Charts

Google chart tools are free, and easy to use. They include histograms, geo charts, column charts, scatter charts, timeline charts, and organizational charts. Google Charts are interactive, zoomable, and can run on HTML5 and SVG. Google charts can also visualize real-time data.


Plotly is another visualization tool that your teams of developers can adopt using APIs. You can create charts and dashboard with Plotly.

Plotly is compatible with Python R and Matlab and its visualization can be embedded in web-based applications.


Infogram helps you create visualizations in a three-step process: choosing a template, adding charts to visualize your data, and then sharing your visualizations. A monthly fee is required to use the tool for a professional version, a business version, or an enterprise. The tool can support multiple accounts for your team.