Business problems are directly related to missed data quality expectations. This book shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program.
David Loshin Libros


Enterprise Knowledge Management
- 491 páginas
- 18 horas de lectura
This volume presents a methodology for defining, measuring and improving data quality. It lays out an economic framework for understanding the value of data quality, then outlines data quality rules and domain- and mapping-based approaches to consolidating enterprise knowledge.