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 data architecture for success

I’m confident you’ve noted that I have not defined what your data architecture should be in this chapter. I have given you the tools, the understanding, and the process by which to set up your data architecture program for success. Technologies change rapidly. The needs of companies vary widely. Only you can define what your company needs to use to build the optimal architecture for the data and analytical needs of your organization. I can’t possibly tell you what architecture is right for your company; only you can do that.

However, there are key factors that will set you up for success. These are consistent across companies both large and small, and will ensure you have a successful program:

  1. Appoint a chief data architect: Every company should have a person appointed to drive appropriate data architecture across the company. While you might not use this title per se, you should define the role and ensure they...