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

The data quality improvement cycle

Different organizations clearly have very different challenges. They are in different locations around the world, with different local laws and regulations. They are in different industries – some closely regulated and some with minimal regulation. However, in my experience, the process that needs to be followed to improve data quality is consistent across all organizations. I have seen success with this process in multiple industries and various parts of the world.

The process I will outline is not “rocket science” – it is a logical and simple approach that I believe most organizations will benefit from. It is the basis of the rest of the book’s structure. Each chapter from now on (with the exception of Chapters 4 and 10) will focus on a particular part of the data quality improvement cycle.

The following diagram provides an overview of the cycle:

Figure 2.5 – The data quality improvement cycle

Figure 2.5 – The data quality...