Secrets of Data Analytics Leaders
How to Succeed with Self-Service Analytics, Know Thy Customer by Wayne Eckerson - Audio Blog
Dec 16, 2019
Learn how to succeed with self-service analytics by knowing your customers. Explore user categories, challenges and solutions for data explorers, and the importance of understanding data architecture and user classification for effective analytics programs.
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Quick takeaways
- Launching self-service analytics without understanding users leads to chaos.
- Classify users into groups for tailored content and tool permissions.
Deep dives
Classifying Users for Self-Service Analytics Success
Self-service analytics requires a nuanced approach to cater to individual roles and preferences. A key insight is the necessity to classify users into groups based on their data consumption and production behaviors. Casual users, constituting about 60% of data users, prefer tailored content for decision-making. In contrast, power users, a smaller group but influential in data strategies, heavily rely on self-service tools for in-depth analysis and modeling.
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