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


This chapter has outlined an example suite of monitoring reports for data quality. This may need to be adapted to your organization but should at least provide an accelerator for the design discussions.

The reports allow anyone in the organization who is given access to them to see an overall picture of data quality and how it is trending over time. They allow people of all different levels to drill right down to record level if they wish. They provide a clear and measurable guide to how data quality really is in the organization.

Of course, they are only as good as the rules that are input into them. Assuming the rules are of appropriate quality, the Failed Data Reports provide an actionable to-do list of data that must be remediated.

The next chapter is all about taking this actionable list and cleaning up the data. This activity will start to reap the benefits that you worked hard to identify when implementing the approach from Chapter 3.