March 5, 2007

5:00 PM - 6:00 PM

Level: Intermediate

How can you measure the quality of something if you don’t know what it is in the first place? Good, robust, precise definitions are central to the measurement of data quality. The definition of any data element should include an objective standard for measurement of that data element. This presentation will cover the following points:

• Why definitions are the key for data quality
• What are the components of a good, precise definition
• How the definition of fundamental business terms affect both the business and business metrics
• Why data quality metrics are business metrics
• How data quality affects the bottom line
• How do you measure 100%? And why this is important to the business

Bonnie O'Neil is Senior Principal Data Architect at Project Performance Corporation, and is an internationally recognized expert on data architecture and business rules, comprising such specializations as data quality, corporate glossaries and dictionaries, taxonomies/ontologies, data profiling, data warehouse architecture (certified CIF/GIF Architect and trainer), semantic data integration and migration. She was the keynote speaker at a Data Quality conference in South Africa, and a founding member of both the Guide Business Rules Project, and the ODTUG Business Rules Summit. She is the author of two database books, as well as over 40 articles and technical white papers, and is currently working on her third book, co-authored by Mr. Inmon entitled Business Metadata, to be released in Spring/Summer of 2007.