Data Quality Techniques : Strategies for Continuous Data Improvement

Kogan Page Ltd

Data Quality TechniquesStrategies for Continuous Data Improvement\nAuthor(s): Daniel Myers\nFormat: Hardback\nPublisher: Kogan Page Ltd, United Kingdom\nImprint: Kogan Page Ltd\nISBN-13: 9781398628021, 978-1398628021\nSynopsis\nEquip yourself with proven techniques to turn poor-quality data from a costly liability into a measurable advantage. \n\nData Quality Techniques is a hands-on guide for mid-career data professionals who need to transform data into a reliable, strategic asset. Designed around the Conformed Dimensions of Data Quality framework, this book shows how to define and measure data quality and communicate expectations in ways that drive real business impact. \n\nWith clear definitions and actionable tools, you'll learn how to:\n- Improve data consistency and accuracy\n- Uncover hidden data quality issues\n- Apply data governance principles to data quality projects\n- Anticipate the role of AI in shaping the future of data quality\n\nPacked with worked examples, Data Quas