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Data Visualization For Dummies by Stephanie Diamond, Mico Yuk

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Chapter 12

Exploring User Adoption

In This Chapter

arrow Encouraging user adoption

arrow Measuring user adoption

arrow Marketing to increase adoption rates

Everything you've done up to this point has been preparation to meet your most important goal: getting a high user adoption rate for your data visualization. Although this may seem obvious, user adoption (UA) is an afterthought in many organizations. It's the thing that everyone focuses on after the solution is rolled out to users.

Big companies in particular invest millions of dollars in business intelligence (BI) solutions, which includes developing and deploying data visualizations. But they drop the ball when trying to facilitate high UA rates. They squander both their limited budget and the opportunity to ensure that users get insights from the data.

According to a study done by Cindi Howson, a well-known BI analyst, author, and founder of BIScorecard (http://biscorecard.com), the average UA rate for data visualizations is between 25 and 35 percent. Contributing factors to the low adoption rates were tool complexity (existing tools are too ...

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