You're reading from Data Governance Handbook A practical approach to building trust in data

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781803240725

Length 394 pages

Edition 1st Edition

Languages

Python

Concepts

Data Governance

Author (1):

Wendy S. Batchelder

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Table of Contents (24) Chapters

Preface

1. Part 1:Designing the Path to Trusted Data

2. Chapter 1: What Is Data Governance? FREE CHAPTER

3. Chapter 2: How to Build a Coalition of Advocates

4. Chapter 3: Building a High-Performing Team

5. Chapter 4: Baseline Your Organization

6. Chapter 5: Defining Success and Aligning on Outcomes

7. Part 2:Data Governance Capabilities Deep Dive

8. Chapter 6: Metadata Management

9. Chapter 7: Technical Metadata and Data Lineage

10. Chapter 8: Data Quality

11. Chapter 9: Data Architecture

12. Chapter 10: Primary Data Management

13. Chapter 11: Data Operations

14. Part 3:Building Trust through Value-Based Delivery

15. Chapter 12: Launch Powerfully

16. Chapter 13: Delivering Quick Wins with Impact

17. Chapter 14: Data Automation for Impact and More Powerful Results

18. Chapter 15: Adoption That Drives Business Success

19. Chapter 16: Delivering Trusted Results with Outcomes That Matter

20. Part 4:Case Study

21. Chapter 17: Case Study – Financial Institution

22. Index

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What is data automation?

Before we go deep into this topic, we will ground ourselves in a few basics about what data automation is. Data automation is a broad term encompassing various methods for automatically handling data tasks. Data automation is a specific subset of automation techniques that apply technology to perform data governance with minimal human interaction. This can include a wide range of techniques, from data entry and data cleaning to more complex techniques such as analytics and reporting. We will go into the specific types of data automation in a few pages, but for now, let’s focus on the value and benefits data automation brings to data governance.

Types of data automation

The data automation techniques included in this section should be applied comprehensively across all capabilities outlined in Part 2 of this book. Data automation transforms the way you work with information and is a complimentary suite of solutions that unlocks additional value...