You Will Learn
- Techniques for column, table, and cross-table data profiling
- How to analyze data profiles and find the stories within them
- Subjective and objective methods to assess and measure data quality
- How to apply OLAP and performance scorecards for data quality management
- How to get beyond symptoms and understand the real causes of data quality defects
- Data cleansing techniques to effectively remediate existing data quality deficiencies
- Process improvement methods to eliminate root causes and prevent future defects
Geared To
- BI, MDM, and data governance program and project managers and practitioners; data stewards; data warehouse designers and developers; data quality professionals