Table of Contents

Causes of Data Quality Problems; Data Quality Program Overview; Data Quality: Assessment Overview; Attribute Domain Constraints; Relational Integrity Rules; Rules for Historical Data; Rules for State-Dependent Objects; Attribute Dependency Rules; Implementing Data Quality Rules; Fine-Tuning Data Quality Rules; Cataloguing Errors; Measuring Data Quality Scores; Data Quality Meta Data Warehouse; Recurrent Data Quality Assessment; Index.

About the Author

Arkady Maydanchik is a recognised practitioner, author, and educator in the field of data quality and information integration. He is a frequent speaker at conferences and seminars, and teaches data quality courses through the Data Warehousing Institute and through his company, Data Quality Group LLC.