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

Setting up metadata management for success

Ultimately, a great metadata program helps companies to answer fundamental data questions such as, What data do we have? How is it classified? Where is our data? Who is responsible for it? How can I find it? Can I use it? Being able to answer these fundamental questions is what makes a metadata management program successful. The CDAO and metadata management leaders, together, must share the value proposition of this capability. My advice is not to be afraid to share what can go wrong without strong metadata management but also what can go right when you have a strong metadata management program.

While at face value this capability may seem fairly straightforward, the implementation of a strong program across a large company takes time, focus, and clear communication about the value. I recommend starting with a data domain or a single system and working across your company to drive implementation. While you work to capture metadata, launching...