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Learning to use data visualization programs


Gartner Magic Quadrant for data visualization programs

          Imagine spending countless hours analyzing your data and finding a meaningful insight that can help shape direction of your business – the only missing piece is convincing functional stakeholders that your analysis is in fact valuable. In this article we will discuss learning resources offered by leading tools that help us communicate our data findings. In fact, no analysis no matter how thorough and complex it might be could yield any real value if the compelling recommendation is not provided to help company leadership take further action. This is exactly where data visualization comes into play: this software allows us to connect to disparate data sources, wrangle our data, perform ad-hoc analyses, distill a powerful data story and even build dashboards to enable further analysis by other folks in our organizations.

          According to Gartner’s Magic Quadrant for Analytics and Business Intelligence Platforms (1) the list of leaders in the data visualization fields include Microsoft Power BI, Tableau and Qlik . In an apparent effort to grow their user base and democratize data analytics, all of these providers offer fully functional versions of their programs free of charge or in case of Microsoft with an affordable subscription plan. Even better, these vendors formalized their knowledge base via various free online learning options.
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First Impressions of using Qlik Sense cloud, using Survey of Business Owners data


First Impressions of using Qlik Sense cloud, using Survey of Business Owners data.

          There is certainly no shortage of various data visualization and BI tools on the market. On this blog we’ve already covered Tableau and Power BI , it’s time for us to review their competition, another leader on Gartner’s Magic Quadrant for Analytics and BI platforms: Qlik , which offers a suite of different BI tools. For the purposes of this post let’s focus on their web-based free product: Qlik Sense – Cloud. Most of the modern data viz programs are supposed to be rather intuitive and very easy to use; so I decided to play with this program without going through the trouble of learning to use it first. American data finder had just the right data set for this experiment: Survey of Business Owners data, which among other things can help us quantify number of companies by size and owner’s gender, see if male vs. female-owned organizations earn higher revenue, employ more workers, and/or pay higher salaries to their employees. Let the data discovery journey begin.

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