Book Image

Data Governance Handbook

By : Wendy S. Batchelder
Book Image

Data Governance Handbook

By: Wendy S. Batchelder

Overview of this book

2.5 quintillion bytes! This is the amount of data being generated every single day across the globe. As this number continues to grow, understanding and managing data becomes more complex. Data professionals know that it’s their responsibility to navigate this complexity and ensure effective governance, empowering businesses with the right data, at the right time, and with the right controls. If you are a data professional, this book will equip you with valuable guidance to conquer data governance complexities with ease. Written by a three-time chief data officer in global Fortune 500 companies, the Data Governance Handbook is an exhaustive guide to understanding data governance, its key components, and how to successfully position solutions in a way that translates into tangible business outcomes. By the end, you’ll be able to successfully pitch and gain support for your data governance program, demonstrating tangible outcomes that resonate with key stakeholders.
Table of Contents (24 chapters)
1
Part 1:Designing the Path to Trusted Data
7
Part 2:Data Governance Capabilities Deep Dive
14
Part 3:Building Trust through Value-Based Delivery
20
Part 4:Case Study

Technical Metadata and Data Lineage

Establishing a high-value, high-return-on-investment (ROI) data lineage capability is a fundamental capability for any data governance program. The success or failure of a Chief Data & Analytics Officer hinges on being able to answer a few key core questions:

  • Where is my data?
  • Who owns it?
  • How is it classified?
  • Is the data safe and secure?
  • How does it change (or how was it changed) as it moves through the company?
  • Can I trust the data? Is it of high quality?

Data lineage is the ability to see the journey the data has taken across your organization. Data lineage captures the source of any transposition changes and the overall journey of where that data has come and gone. It provides a line of sight into how the data has evolved across its source, journey, and evolution.

Building on the Metadata Management capabilities outlined in Chapter 6, Metadata Management, this chapter will focus on the more technical...