packtpublishing / data-quality-in-practice

Data Quality in Practice, published by Packt

Practical Data Quality

This is the code repository for Practical Data Quality, published by Packt.

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

What is this book about?

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.

This book covers the following exciting features:

• 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

If you feel this book is for you, get your copy today!

Instructions and Navigations

Following is what you need for this book: 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.

Related products

• Principles of Data Fabric [Packt] [Amazon]

• Data Literacy in Practice [Packt] [Amazon]

Get to Know the Author

Robert Hawker has worked in Data and Analytics within household name end user organisations since 2007. Rob has worked in a range of industries in both hands on and leadership roles, covering areas such as master data management, data quality, metadata management and data visualisation. Rob has established new data and analytics teams as the first employee and implemented new methodologies to drive success for his employers. Rob started his career as a chartered accountant – an experience which has proven very valuable when engaging with business people.