Managing Data Quality: A practical guide

by Tim King, Julian Schwarzenbach

Data is an increasingly important business asset and enabler for organisational activities. With growth in data sets and data volumes, it's becoming ever harder to manage. Data quality - the fitness for purpose of data - is a key aspect of data management and failure to understand it increases organisational risk and decreases efficiency and profitability. This book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61.

160 pages, Kindle Edition

Published May 4, 2020

Reviews

[Peter Parslow]

A good hand book to Data Quality Management - useful ideas and things that could be used to encourage a colleague or organisation to take the management of data quality seriously.

I don't recommend just giving it to them to read, unless they like slightly repetitive "management speak" - some parts are a good read, others do just plod. So I see it as better as helpful material to support Data Quality management people in building their (our) case.