While past efforts often centered on periodic batch data cleansing activities, experts now say that data quality management must be an ongoing, enterprise-wide discipline to be truly effective. But how does an organization develop a strategy, calculate ROI, get funding, build a team, choose data quality remediation software tools -- and maintain a long-term, enterprise-wide program?

To learn more about how to develop and maintain an enterprise-wide data quality strategy, SearchDataManagement.com talked to internationally-recognized expert Larry English, founder of Brentwood, Tenn.-based Information Impact International and developer of the Total Information Quality Management (TIQM) methodology.

Attend this Podcast to learn:

• English's expert recommendations and best practices for how to get started with an enterprise-wide data quality initiative.
• How to calculate the return on investment (ROI), build a business case and get funding for enterprise-wide data quality management.
• Get more information about three of the essential components of an enterprise-wide data quality program.
• Learn how to structure enterprise data quality teams and find out what skill sets are necessary for success.
• Find out how to maintain enterprise data quality management programs -- and learn what common pitfalls to avoid.

Larry English
Information Impact International
Larry English is an internationally-recognized speaker, educator, author and consultant in knowledge management and information quality improvement. His company, Information Impact International, provides consulting and education for information quality and a variety of related disciplines. Larry developed the Total Information Quality Management (TIQM) methodology applying Kaizen quality principles to information quality management. He chairs Information Quality Conferences around the world, and conceived of and co-founded the International Association for Information and Data Quality (IAIDQ).