Think of it this way: in order to either properly set up or use a visualization to ask and answer your analytical questions, you need to be able to describe the visualization, data and the potential trends it shows and make interpretations. This requires learning a wide range of skills like analytic techniques, basic statistical literacy, and other data literacy topics.
For example, decision makers should understand the difference between correlation and causation and how to determine which is which. Many times we hear decision makers say that two factors are correlated, so “let’s proceed”. However, that does not mean there is causation. Misinterpreting correlation as causation can be extremely dangerous and costly for companies.
Other decision makers may view something and think it is statistically significant, but it really is not. This can also lead to poor decisions.
These are just two of many possible examples where it is important decision makers have some data literacy and ability to correctly interpret their data and visualizations.
To help decision makers everywhere make smarter and more informed decisions, our learning platform Qlik Continuous Classroom now includes a free learning pathway for Business Users. This pathway, along with the Business Analyst and Data Architect pathways, includes not only learning modules on using Qlik products, but also on analytic concepts. Take a look at our first sets of modules using the link above, and check back often for our frequent addition of new modules.