Building an Effective Data Quality Management Program

David Loshin
President
Knowledge Integrity Incorporated
IAIDQ Charter Member

Monday 1:00pm - 4:15pm
Half Day Tutorial
Level: Introductory

The quality of an organization's information is increasingly coming under scrutiny in the wake of both internal and external pressures. Internal data migration projects, data integration projects, or business intelligence programs depend on high data quality, while regulatory or legislative pressures such as Sarbanes-Oxley or HIPAA require specific measures for ensuring the integrity of information. But as the emergence of information quality as a management imperative is gaining widespread acceptance, the first reaction of most IT organizations to a request for data quality management is to start shopping for data quality tools. This approach may satisfy some business clients in some contexts, but in the absence of a fundamental data quality management program, these tools act only as band-aids and do not address strategic measurable information improvement. In this tutorial we will discuss a technical and management blueprint for building a long term data quality management program that will be able to provide both short-term and long-term measurable results.