Chart representation of data

Fact or Fiction: Five Common Downfalls of Data Visualizations

Sanket Shah Thought Leadership

Just like a photo can be altered to remove imperfections, visuals can be manipulated to support the narration an author wants to portray. Likewise, overly complicated visualizations can be just as deceptive.

Thanks to technology, there is a wealth of data at our disposal. By falsely representing that data, we do a disservice to those that would benefit from its information. As it turns out, the numbers do not lie, but the visualizations representing them may. Watch out to avoid making these common mistakes when trying to accurately convey data through visualizations.

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Sanket Shah, MSHI is a senior director at BHI He has over a decade of progressive experience as an executor with a history of scaling and driving brand positioning of complex analytic solutions in growth-oriented environments, mature, and emerging verticals. In addition to his role with BHI, he serves as a Clinical Assistant Professor at the University of Illinois-Chicago with graduate courses focused on healthcare data, knowledge management, consumer informatics, and business intelligence.