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

Presenting findings to stakeholders

Having worked hard to produce these data quality reports, it is critical to ensure that they are launched successfully and embedded into day-to-day business practices.

Launching data quality reporting successfully

The most important feature of a successful data quality reporting launch is that the rules must be accurate and well tested. If the reporting goes live and immediately is shown to include false data quality failures, it is very difficult to keep people engaged.

Usually through a data quality initiative, you will identify data stewards and data producers who are highly engaged and become almost part of the central team. It is a good practice to release the reporting initially to these users, asking them to monitor the outputs regularly for 1-2 weeks until the confidence level is higher.

These users can often then act as champions of the tool when it is released more widely to the business.

It is also highly recommended to...