Today, data discovery and self-service are making data governance a charged topic.
As business-driven data discovery continues to become fundamental, ensuring data and analytics are trustworthy and protected becomes more difficult and imperative.
This research explains how to manage the barriers and risks of self-service and enable agile data discovery across the organization by extending existing data governance framework concepts to the data-driven and discovery-oriented business.
- Understand the “freedom vs. control” paradox
- How to design for iterative, “frictionless” discovery
- Key governance checkpoints in data discovery
Built from an open source heritage, Pentaho’s unified data integration and analytics platform is comprehensive, completely embeddable and delivers governed analytics with any data in any environment.
For more information visit, www.pentaho.com.