Rupa Mahanti
Data Governance and Data Management
Contextualizing Data Governance Drivers, Technologies, and Tools
1st ed. 2021
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Rupa Mahanti
Strathfield, NSW, Australia
ISBN 978-981-16-3582-3 e-ISBN 978-981-16-3583-0
https://doi.org/10.1007/978-981-16-3583-0
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
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R. Mahantis book offers both students and life-time learners a broad description of data governance in one book. The compilation of information in one place is welcome, saving a lot of time, when starting a DG program and you need to decide how you want it to work. Mahantis perspective has been formed by many academic and professional sources which she draws upon when forming her conclusions. Readers will appreciate her passion on the topic for many years to come.
Dan Myers, Principal Info Quality Educator, DQMatters, Founder of the Conformed Dimensions of Data Quality
Going well beyond compliance drivers, this volume illustrates what is needed to embed data governance in the fabric of your organization and maximize the value of your data.
Jeannine Siviy, Director, Healthcare Solutions, SDLC Partners, Co-author of CMMI and Six Sigma
The second volume of Rupa Mahantis ambitious three volume project on Data Governance adds to the growing body of knowledge around improving data governance practices. Mahanti puts data governance work in the overall context of data management. She discusses the levels of governance for different types of data (master data, reference data, transactional data), with a particular emphasis on the relation of DG to data quality and data security. Her comprehensive and practical approach presents the Whys while also getting at the Hows by describing the facilitation of DG activities through appropriate tooling. Data Governance and Data Management: Contextualizing Data Governance Drivers, Technologies, and Tools will enable organizations in a wide range of industries to improve the effectiveness of their Data Governance initiatives.
Laura Sebastian-Coleman, Author of Navigating the Labyrinth: An Executive Guide to Data Management
The fact that data is an asset is probably the understatement of the century. Though in order to be treated as such, it needs to be governed. Before going deeper onto the data governance path, I recommend understanding it better and learning how it helps, what its relationship is to data management functions, and data specific tools and technologies. Read Rupas book to understand these aspects.
George Firican, Founder of LightsOnData
Data Governance and Data Management: Contextualizing Data Governance Drivers, Technologies, and Tools is a great resource for helping your organization become truly data-driven. A lack of understanding about the relationship between technology and data often becomes a stumbling block in achieving this goal. This book clearly explains how data operations and data governance can only be successful when viewed in the full context of the processes, technology, and people in an organization.
Dr. John R. Talburt, Acxiom Chair of Information Quality at the University of Arkansas at Little Rock, and Lead Consultant for Data Governance and Data Integration with Noetic Partners
I can hear readers who open this book for the first time thinking, This book will help me figure out how to start our data governance project. Im hoping that by the time they reach the end, these same readers will be fortified by the experiential knowledge that Rupa Mahanti and her band of data experts have imparted throughout these pages. Data has moved beyond a byproduct of the systems that generate it to become the major driving force behind business, and indeed our own evolution. Its more than a project, it could very well be our salvation.
Jill Dych, Author and Data Strategy Consultant
To my parents,
for their unwavering support, dedication, love, and encouragement.
To my teachers and mentors,
for their guidance and patience.
Foreword
The second book in this series starts out with a discussion of Data and Its Governance. The data explosion , where the amount of data worldwide is doubling roughly every 1.52 years, has led to growing expectations from corporate management, regulators, and the general public on how data is gathered, managed, and used by corporations and government entities.
For some companies, the data is their business. E-commerce companies such as Amazon, AirBnB, Netflix, and Expedia, and social media companies like Facebook, Twitter, and LinkedIn, wouldnt be in business without the Internet and sophisticated methods of gathering, managing, and acting on large volumes of data.
Unfortunately, for people as individuals, its become clear that if youre not buying the product, then you are the product. Theres serious concern among federal and state legislators on these large companies data practices and what those practices have done to the ability of foreign governments and other non-state actors to influence elections, erode privacy rights, take advantage of cybersecurity vulnerabilities, and harm the financial and reputational standing of many law-abiding organizations and people.
The book continues with a helpful discussion of the history and basic concepts of data and its organization, database management systems (DBMS), the relational model, data warehousing, and the growing trend for organizations to treat their data as an asset, even though most companies do not yet list data on their balance sheets.
The book introduces the concept of the data asset life cycle, and how data governance spans that life cycle, from creation & acquisition, to capture, processing, storing and maintenance, through to archiving, purging, and retirement. The author also outlines the issues when data is not treated as an asset. Unfortunately for most companies, their data is their single biggest asset, but many Fortune 500 CEOs dont fully appreciate that fact (Andrew Lo, Financial Economist and Professor of Finance at MIT). The book also explores the question of why data is not consistently treated as an enterprise asset, and in fact, data sometimes degrades and turns from an asset to a liability.