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

Building momentum through a continuous delivery model

Quick wins are not just something that you create and deliver in the early phases of your tenure – they’re quite the opposite. You should create quick wins to build momentum, and then keep delivering with velocity over time. The best way to create momentum is by devising a continuous delivery model.

Continuous delivery model

A continuous delivery model enables your team to further deliver against each solution, by adopting the product mindset discussed previously, as well as using the same model to identify and deliver new quick win opportunities. The same model applies to both an individual solution, as well as the process overall, which makes it easier to deploy across your team. For engineers, this may look a lot like an agile delivery model, which it is modeled after. For non-engineers, this is the opportunity to learn from our technical counterparts and adopt their processes more broadly to solutions holistically...