The Practitioner's Guide to Data Quality Improvement offers a
comprehensive look at data quality for business and IT, encompassing
people, process, and technology. It 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.
It demonstrates how to institute and run a data quality program, from
first thoughts and justifications to maintenance and ongoing metrics. It
includes an in-depth look at the use of data quality tools, including
business case templates, and tools for analysis, reporting, and
strategic planning.
This book is recommended for data management practitioners, including
database analysts, information analysts, data administrators, data
architects, enterprise architects, data warehouse engineers, and systems
analysts, and their managers.