![]() ![]() ![]() The past, present and future of data visualizations The relationship between data visualizations and data analytics is sort of like that between a square and a rectangle: While all visualizations are analytics, not all analytics are visualizations. That could be a visualization, or it could be a report generated by a business intelligence (BI) solution, or any form of analysis that guides the development and refinement of the processes, products and services an organization relies on. Visualizations are the results of the analytics production process, through which potentially valuable insights are extracted from datasets and presented in a digestible format. These visualizations are sometimes described as “data analytics,” although that framing isn’t exactly right. Many of these professionals oversee projects involving the conversion of massive amounts of information into clean, concise and actionable data visualizations such as dashboards. Plus, visual content such as infographics, videos and illustrations has thrived in the age of 24/7 online connectivity and busy social media feeds, driving much higher engagement than text-only articles on platforms such as Facebook.ĭata scientists also use visual media to sustain user and stakeholder attention and drive action. The human brain is efficient at processing visual media. ![]() According to the New York Times-bestselling book Brain Rules by John Medina, a person can typically retain 65% of what they see in an image after three days, compared to only 10% for information they heard. ![]()
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