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

Conclusion

Measuring value for an organization is not easy. It takes thoughtful alignment with stakeholders about how to measure success, together. No one team can solve this independently; you must bring the discussion about value measurement into the early stages of the project, focus the stakeholders on the importance of alignment, and build a rigorous, transparent process into the normal flow of business. In my experience, many teams discuss having this capability, or may even claim to have something similar. In practice, very few teams do this consistently well across their entire company. Let’s normalize this process so that as a practice, we can demonstrate that there is an incredible return on investment (ROI) in data. In this chapter, we walked through the eight-step alignment methodology to drive outcomes with your stakeholders, common alignment challenges, and how to carry forward the measured outcomes to your stakeholder map for aggregated value alignment.

This...