Section 1. Concepts and Definitions
“Does not any analysis of measurement require concepts more fundamental than measurement?”
—John Stewart Bell, Irish Physicist, 1928–1990
The purpose of Measuring Data Quality for Ongoing Improvement is to help people understand ways of measuring data quality so that they can improve the quality of the data they are responsible for. A working assumption is that most people—even those who work in the field of information quality—find data quality measurement difficult or perplexing. The book will try to reduce that difficulty by describing the Data Quality Measurement Framework (DQAF), a set of 48 generic measurement types based on five dimensions of data quality: completeness, timeliness, validity, consistency, ...
Get Measuring Data Quality for Ongoing Improvement now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
