Self-service analytics needs strong data architecture foundation

The adoption of self-service BI and analytics tools continues to grow. But understanding how to support their use is a must — and that starts with a solid architecture for analytics.

Consultancy Gartner Inc. expects a majority of businesses to put in place some kind of self-service business intelligence and data visualization software by the end of 2016. But simply implementing a set of self-service analytics tools isn’t enough to fully realize the promise of opening up the BI process to more workers in an organization. It also requires lots of behind-the-scenes work to properly prepare data architectures so business users will be well-positioned to succeed with the new technologies.

Author: Ed Burns

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