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

What is data automation?

Before we go deep into this topic, we will ground ourselves in a few basics about what data automation is. Data automation is a broad term encompassing various methods for automatically handling data tasks. Data automation is a specific subset of automation techniques that apply technology to perform data governance with minimal human interaction. This can include a wide range of techniques, from data entry and data cleaning to more complex techniques such as analytics and reporting. We will go into the specific types of data automation in a few pages, but for now, let’s focus on the value and benefits data automation brings to data governance.

Types of data automation

The data automation techniques included in this section should be applied comprehensively across all capabilities outlined in Part 2 of this book. Data automation transforms the way you work with information and is a complimentary suite of solutions that unlocks additional value...