May 1, 2024
Updated May 9, 2025
19 minute read
Data Governance, at its core, is the overall management of the availability, usability, integrity, and security of the data in an enterprise. It establishes the processes and responsibilities that ensure the quality and security of the data used across an organization. Think of it as the constitution for an organization's data, outlining who can take what action, upon what data, in what situations, and using what methods. This framework is crucial for making data-driven decisions, complying with regulations, and ultimately, driving business value.
Working in Data Governance can be engaging for individuals who enjoy bringing order to complex environments and who are passionate about the power of data. One exciting aspect is the ability to act as a bridge between technical data experts and business users, translating complex data requirements into actionable policies. Another fulfilling part of the role involves safeguarding an organization's most valuable asset – its data – ensuring it is protected, accurate, and used ethically. The field is also constantly evolving, presenting continuous learning opportunities as new technologies and regulations emerge.
Introduction to Data Governance
This section delves into the fundamental aspects of Data Governance, providing a clear definition, tracing its historical development, and underscoring its critical role in contemporary organizations.
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Reading list
We've selected 25 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Governance.
This is widely considered the authoritative guide to data management, with data governance at its core. It provides a comprehensive framework, standard definitions, and best practices for various data management functions. It is an essential reference tool for anyone serious about the field and is often used as a foundational text in academic and professional settings.
Offers a practical and accessible approach to data governance by focusing on leveraging existing organizational activities. It emphasizes making progress without striving for immediate perfection, making it valuable for those new to implementing governance programs. It's highly recommended for its plain language and actionable advice.
This practical guide focuses on implementing and scaling data governance effectively. It covers strategy, tooling, data democratization, security, privacy, and improving data quality. It valuable resource for understanding how to operationalize data trustworthiness from ingest to use.
Written by an experienced Chief Data Officer, this handbook provides an exhaustive guide to understanding data governance, its components, and positioning solutions for tangible business outcomes. It covers the entire lifecycle of a data governance program with a focus on practical implementation and value creation.
Provides a comprehensive overview of data governance, covering topics such as data strategy, data quality, data security, and data privacy. It valuable resource for anyone who wants to learn more about data governance or improve their data governance practices.
A classic in the field, this book provides a comprehensive overview of the data governance lifecycle. It's an excellent starting point for understanding how to design, deploy, and maintain a successful data governance program within an organization. While published in 2012, its foundational principles remain highly relevant.
Given the strong regulatory landscape surrounding data, this book provides clear guidance on data protection, privacy, and information law, including GDPR and the Data Protection Act 2018. It's essential for understanding the legal context of data governance and compliance.
Dives into the crucial role of data stewards in a data governance program. It provides actionable guidance on setting up and running a data stewardship effort, including organizing, training, and working with data stewards. The second edition is updated for the Big Data era and international business considerations.
A follow-up to the popular 'Non-Invasive Data Governance,' this book offers further experience and perspective on implementing data governance with minimal disruption. It reinforces the practical approach of recognizing and formalizing existing data-related activities. It's valuable for those looking to deepen their understanding of the non-invasive methodology.
Offers a practical exploration of approaches to data privacy for technologists. It introduces fundamental concepts and provides examples and code snippets for implementing privacy in practice. It's a valuable resource for understanding how to integrate privacy into data systems, addressing a key contemporary topic in data governance.
Focusing specifically on data quality, a critical component of data governance, this book offers practical guidance for starting and advancing a data quality program. It addresses common data quality problems and outlines steps for improvement. It's a useful reference for understanding the 'why' and 'how' of data quality management.
Given the strong link between data governance and data privacy, this book is highly relevant. It provides practical guidance for engineers on designing and implementing scalable privacy programs, navigating the trade-offs between security and business needs. It covers classifying data, building tools for data discovery, and implementing technical privacy controls.
Demystifies data governance through pragmatic advice based on real-world experience and research. It offers a case-based approach to understanding and implementing data governance frameworks, making it a practical guide for practitioners facing the complexities of the field.
Offers a practical, step-by-step approach to data governance applicable across industries. It provides perspectives and practices for effectively managing an organization's data. It's a solid resource for gaining a broad understanding and practical insights.
Addressing the crucial aspect of data quality within data governance, this book provides techniques to define and assess data quality and ensure effective data collection practices. It's valuable for data professionals dealing with the 'good pipelines, bad data' problem and seeking to build data trust at scale.
Offers a step-by-step guide to building a data governance strategy from scratch. It focuses on creating a cross-functional strategy, building a data governance team, and embedding governance into development processes. It's a practical resource for establishing a data-driven culture.
Challenges traditional approaches to data governance and offers a fresh perspective for the modern era. It aims to redefine governance to support data usage rather than restrict it. It's particularly useful for business leaders and team leaders seeking to improve their understanding of contemporary data governance expectations.
This handbook specifically addresses data governance from the perspective of the Chief Data Officer. It provides insights and guidance for CDOs on leading and implementing data governance within their organizations. It's a valuable resource for those in leadership roles or aspiring to them.
Provides insights into the evolving role of the Chief Data Officer, a key figure in driving data governance initiatives. It offers practical guidance for CDOs and those working with them, covering data strategy, team building, and the CDO's relationship with data governance. The second edition includes updated perspectives on the CDO landscape.
Provides a practical guide to data management and analytics, covering topics such as data strategy, data quality, data security, and data privacy. It good resource for anyone who wants to learn more about data governance or improve their data governance practices.
Provides a roadmap for planning and implementing a data and information quality management program. It offers practical guidance based on research and real-world examples, focusing on making the economic case for data quality and gaining organizational support.
Focuses on the crucial aspect of selecting the right tools for data governance. It provides evaluation criteria, discusses big data governance, and emphasizes alignment with overall enterprise data management. It's a practical guide for those involved in the technological aspects of data governance.
Focuses on the role of an enterprise data catalog in supporting data governance. It explains how a data catalog can improve data discovery and enable innovation while ensuring governance. It's relevant for understanding the tools and technologies that underpin data governance efforts.
Addresses data stewardship in the context of open science and the FAIR principles (Findable, Accessible, Interoperable, Reusable). It highlights the need for effective data stewardship in modern research and provides guidance for scientists and data professionals in this domain.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/lkqp5e/data
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