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

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.

1144102659
Practical Data Quality: Learn practical, real-world strategies to transform the quality of data in your organization

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.

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

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

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

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

Overview

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.

Product Details

ISBN-13: 9781804619438
Publisher: Packt Publishing
Publication date: 09/29/2023
Sold by: Barnes & Noble
Format: eBook
Pages: 318
File size: 8 MB

About the Author

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.

Table of Contents

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. Getting Started with a Data Quality Initiative
  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
From the B&N Reads Blog
Page 1 of

Related Subjects

Computers
Database Management
Databases - General & Miscellaneous
Computers
Database Management
Databases - General & Miscellaneous

Customer Reviews