Managing Data Quality

Managing Data Quality A practical guide

By (author) Tim King, Julian Schwarzenbach

Publication date: 04 May 2020

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.