Developing a Data Quality Strategy
All companies—small, medium, and large—need quality information to support their operational activities and business intelligence environments. The desired level of quality doesn’t just happen. It requires a concerted, coordinated effort with involvement from many parts of the organization.
This session explains the major challenges, describes an approach for assessing the current situation, and provide a strategic approach that addresses the cultural dynamics, roles and responsibilities, prioritization, data profiling, error prevention and correction, and continuous quality improvement.
What You Will Learn:
- The major challenges
- The cultural and organizational implications
- How to understand the current state
- How to determine the desired state
- Components of the strategy for moving from the current to the desired state