Book Image

Practical Data Quality

By : Robert Hawker
Book Image

Practical Data Quality

By: Robert Hawker

Overview of this book

Poor data quality can lead to increased costs, hinder revenue growth, compromise decision-making, and introduce risk into organizations. This leads to employees, customers, and suppliers finding every interaction with the organization frustrating. Practical Data Quality provides a comprehensive view of managing data quality within your organization, covering everything from business cases through to embedding improvements that you make to the organization permanently. Each chapter explains a key element of data quality management, from linking strategy and data together to profiling and designing business rules which reveal bad data. The book outlines a suite of tried-and-tested reports that highlight bad data and allow you to develop a plan to make corrections. Throughout the book, you’ll work with real-world examples and utilize re-usable templates to accelerate your initiatives. By the end of this book, you’ll have gained a clear understanding of every stage of a data quality initiative and be able to drive tangible results for your organization at pace.
Table of Contents (16 chapters)
Part 1 – Getting Started
Part 2 – Understanding and Monitoring the Data That Matters
Part 3 – Improving Data Quality for the Long Term

Generally accepted principles and terminology of data quality

Data quality as a recognized discipline has been around for a long time. Many organizations and individuals have developed methodologies that have developed our collective thinking and improved outcomes. This section aims to lay out the recognized principles and explain the terminology that every seasoned data quality professional should understand.

Naturally, this section builds on the work of many data governance experts, and there are many references to other existing content, particularly DAMA International ( Having said this, the section also includes my own interpretation and views on these accepted concepts as well as practical examples to bring them to life. The first part of this section outlines the basic concepts of data quality.

The basic terms of data quality defined

In Chapter 1, I outlined in detail what is meant by “bad data” and the impacts of bad...