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

Overview of process

Before we get into the details, let’s start with a preview of the data management maturity process. The process can be broken into 10 simple steps:

  1. Define the scope of the assessment: What data and processes will be included?
  2. Assemble a team of stakeholders: This team should include representatives from all levels of the organization, as well as from different departments.
  3. Select a data management maturity model: There are a number of different models available, so choose one that is appropriate for your organization’s needs.
  4. Execute the assessment and collect data: This data can be collected through surveys, interviews, and document reviews.
  5. Analyze the data: Use the data to identify strengths and weaknesses in your organization’s data management practices.
  6. Communicate results: Inform all relevant parties of the results of the assessment.
  7. Develop a plan for improvement: Based on your findings, develop a plan...