This eBook outlines a comprehensive governance framework for securing self-service analytics environments. It presents a multi-layered approach covering development, testing, and production stages of the analytics lifecycle. The guide explains how to balance agility and control through automated checks, segregation of duties, audit trails, and risk classification. It highlights how governance can be embedded directly into analytics workflows rather than enforced through manual oversight. By implementing structured yet flexible governance, organizations can scale self-service analytics while maintaining compliance, trust, and accountability.

Join for free to read