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Practical Data Quality

By Robert Hawker
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  1. Free Chapter
    Chapter 1: The Impact of Data Quality on Organizations
About 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.
Publication date:
September 2023
Publisher
Packt
Pages
318
ISBN
9781804610787

 

Part 1 – Getting Started

Data quality initiatives can be difficult to get off the ground. It is not easy to identify clear quantitative benefits up front, and not all stakeholders inherently have an understanding of how damaging poor data quality can be.

In the first four chapters of this book, you will gain an insight into the key concepts that are fundamental to a data quality initiative, such as the roles involved, how the activities fit into a broader data management program, and the end-to-end data quality improvement cycle. You will learn how to create a compelling business case for a data quality initiative, which should lead to the required funding to make meaningful progress. The book will guide you on how to make an impactful start immediately after the business case is approved.

By the end of this part, you will be able to fully articulate what a data quality initiative will comprise, from start to finish, and explain the benefits and costs involved in depth...

About the Author
  • Robert Hawker

    Robert Hawker started his career as a chartered accountant before making the leap into data in 2007. He led data teams within two global implementations of SAP, looking after master data management, data ownership and stewardship, metadata management, and, of course, data quality over a 14-year period. He moved into analytics in 2017 and now specializes in Microsoft Power BI training, implementation, administration, and governance work. He lives in the UK and shares his experiences through conference and blogs.

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Practical Data Quality
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