Practical Data Quality: Learn practical, real-world strategies to transform the quality of data in your organization - Brossura

Hawker, Robert

Brossura

ISBN 10: 180461078X ISBN 13: 9781804610787

Casa editrice: Packt Publishing, 2023

Riassunto

Identify data quality issues, leverage real-world examples and templates to drive change, and unlock the benefits of improved data in processes and decision-making

Key Features

• Get a practical explanation of data quality concepts and the imperative for change when data is poor
• Gain insights into linking business objectives and data to drive the right data quality priorities
• Explore the data quality lifecycle and accelerate improvement with the help of real-world examples
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

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.

What you will learn

• Explore data quality and see how it fits within a data management programme
• Differentiate your organization from its peers through data quality improvement
• Create a business case and get support for your data quality initiative
• Find out how business strategy can be linked to processes, analytics, and data to derive only the most important data quality rules
• Monitor data through engaging, business-friendly data quality dashboards
• Integrate data quality into everyday business activities to help achieve goals
• Avoid common mistakes when implementing data quality practices

Who this book is for

This book is for data analysts, data engineers, and chief data officers looking to understand data quality practices and their implementation in their organization. This book will also be helpful for business leaders who see data adversely affecting their success and data teams that want to optimize their data quality approach. No prior knowledge of data quality basics is required.

Table of Contents

1. The Impact of Data Quality on Organizations
2. The Basics of Data Quality
3. The Business Case for Data Quality
4. Data Quality Roles and Their Challenges
5. Data Discovery
6. Data Quality Rules
7. Monitoring Data Against Rules
8. Data Quality Remediation
9. Embedding Data Quality into Organizations
10. Best Practices and Common Mistakes

Su questo libro

Informazioni sull?autore

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.

Dettagli dell'edizione

• Editore: Packt Publishing
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 180461078X
• ISBN 13: 9781804610787
• Rilegatura: Copertina flessibile
• Numero di pagine: 318
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile