Presenting data in a way that a diverse audience can understand and remember is critical to data’s effectiveness and real-world application.
Collecting, preparing and analyzing data without giving due diligence to data storytelling isn’t worth your time if your audience can’t make heads or tails of what the data means.
Think about this: the average person processes an image and associates meaning to it in around 250 milliseconds(ms) (literally within a blink of an eye), while it takes a person twice as long to associate meaning to words and numbers—raw data.
Without the proper context, data analyses and reports are just a bunch of words and numbers.
The potential of those words and numbers to turn into actionable data often goes ignored because they aren’t presented clearly. And ultimately, organizations end up missing opportunities to increase their bottom lines and perfect their growth strategies (among other things) due to such poorly presented data.
When analysts present data in a more visual way, more people understand it, faster. To paraphrase Michele Kiss, Senior Partner at Analytics Demystified: The faster your audience members understand your data, the more likely they are to ask themselves what they’re going to do with your data instead of asking themselves what the data means.
Effective data visualization isn’t only about making things look “pretty”—it’s about understanding human perception (human psychology). Humans understand and recall information much more easily when the data is visually appealing and contextualized.
Michele Kiss recently said, “When we work WITH what we know about human perception, we can make the complex world of data more accessible—and, more importantly, actionable.”
In her upcoming presentation, “Ten Tips For Presenting Data,” at the 2017 Analytics Summit on November 9th, Michele Kiss will outline top data visualization tactics to help data owners effectively communicate the significance of their analyses.
Register for the Analytics Summit to gain access to Michele Kiss and 24 other prominent speakers’ presentations as they cover best practices, trends, technologies and key concerns for data-driven organizations.
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