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PREFACE

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for many more years) with data and records about them having been stored in multiple systems.

This book is ‘technology agnostic’, so is not tied to any one particular technology or software system. It details approaches to managing data quality that will stand the test of time regardless of future technology changes and evolving organisational requirements for data.

Intended audience

We intended this book to be both a reference source to be read (and reread) in its entirety and a source of advice and anecdotes that can be ‘dipped in to’ when required. It is written for data managers and the practitioners, supporters and sponsors involved in data quality initiatives.

It is also written for students and lecturers in both computer science and business/management courses who have an interest in, or reliance on, effective data exploitation.

Reference to other works

This book is not attempting to be a definitive guide for all possible data-related activities, many of which are already described in other authoritative works. Instead, we will focus on the challenges of managing enterprise data quality and the ways to refine the management system of an organisation to take adequate account of data. Where a subject already has authoritative and well-regarded reference material, we will refer to these authoritative sources.