Tuesday, April 29, 2014
10:15 AM - 11:00 AM
All too often, Data Quality is implemented via custom software developed for specific uses. This case study will show how metadata-driven approaches to Data Quality can be used to:
- Enable generalized data quality engines which need minimal maintenance
- Define data quality rules in broadly understood business terms
- Facilitate (and even automate) the application of those rules in multiple contexts
- Integrate real-time quality analysis into recurring data transmissions
While the primary intent of the presentation is to get people to begin thinking about data quality in innovative ways, it will also include specific reference architectures illustrating real-world implementations.
David Kowalski is a Senior Vice President and Senior Information Architect within Bank of America's Enterprise Data Management Information Architecture Group. He has spent more than twenty years within the Financial Services, Consumer Goods and Telecommunications industries where he has always been a strong proponent of doing things once, in the right place and leveraging these anchor points to create robust, efficient and tightly integrated data management practices.