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

Building an optimal data quality capability

A mature data-driven company not only implements the individual capabilities from the preceding section but also integrates them in a holistic manner, ensuring that data quality is embedded in the organization’s operations and overall culture—a culture where trusted information is valued and expected. This state, where trusted information is the baseline and anything else is rejected, includes the expectation that the quality of the data used in reporting, operations, and analytics is measured, monitored, and reported for all in-scope data elements, assets, and integrations.

What does it mean to be in scope? It does not mean that every single data element, every single report or dashboard, or every single integration is measured, monitored, and reported. That would be just as irrational as measuring, monitoring, or reporting nothing at all (for the opposite reasons). Rather, optimal data quality requires thoughtful, intentional...