IDQ Conference 2006

Using Data Profiling for Proactive Data Quality Improvement

David PlotkinDavid Plotkin
Data Quality Manager
Wells Fargo Consumer Credit Group
IAIDQ Charter Member


Monday 8:30am - 12:00pm
Half Day Tutorial
Level: Intermediate

As your company moves to proactive data quality improvement, data profiling provides a robust methodology and toolset to discover quality issues before your customers do. This presentation discusses the advantages of proactive data quality improvement, how to set up an infrastructure (including stewardship) to support the effort, the gathering and documentation of data quality rules, what data profiling is, using data profiling for existing and new data elements, and what to do when you do find data quality issues. You will learn:
- What data quality issues profiling helps you find
- How to build templates for collecting data quality rules and a repository to store those rules in.
- The pitfalls of working with the business people-what works and what doesn’t.
- An iterative methodology for finding and then reviewing the results of data profiling.
Speaker Bio
David Plotkin is the Manager of Data Quality for Wells Fargo Consumer Credit Group. He is responsible for the implementation of data quality methodology for both existing data and providing support to projects that contain a Data Quality Plan. He is also responsible for metadata collection and management, as well as metadata quality.
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