Thanks to Tom Mackay, principal solution architect at QlikTech, I recently came upon the article “Seven Dirty Secrets of Data Visualisation,” by programmer Nate Agrin and data visualization developer
Thanks to Tom Mackay, principal solution architect at QlikTech, I recently came upon the article “Seven Dirty Secrets of Data Visualisation,” by programmer Nate Agrin and data visualization developer Nick Rabinowitz. In addition to shining light on some best practices in data visualization, this article helps illuminate the difference between standalone data visualization tools and a Business Discovery platform. The article covered seven dirty secrets of web-based data visualizations; I have thoughts about a few of them: Visualizations are just the tip of the iceberg, if the iceberg is a person’s understanding of the data. To be able to derive meaning and insight from data, especially complex data sourced from multiple systems, the user requires not only well-designed, clear, concise data visualizations, but the ability to explore the full dataset on their own. They need to be able to ask and answer their own streams of questions without having to go back to an expert for a new visualization every time they have a follow-up question. This, in a nutshell, is the difference between a standalone data visualization tool and a Business Discovery platform.
Data Visualizations: The Tip of the Iceberg of Understanding
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