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

Adoption is a continuous journey. Until the solution is retired or decommissioned, you will be driving ongoing adoption of your solution. Data solutions are powerful tools, but their true power lies in their widespread adoption and utilization. By understanding the cost of low adoption, the factors influencing user behavior, and the various strategies for fostering engagement, organizations can create a culture of data-driven decision-making and unlock the full potential of their data investments.

Data adoption is not a one-time event; it’s a continuous journey requiring ongoing effort, engagement, and commitment to building a data-driven culture within your organization. By embracing the strategies outlined and fostering an environment that values data and user experience, organizations can navigate the path toward successful data adoption and turn data into a powerful engine for success.