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Data Governance and Data Management

Contextualizing Data Governance Drivers, Technologies, and Tools

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  • © 2021

Overview

  • Discusses the need for data governance and problems that can arise in the absence of data governance
  • Highlights the business drivers and benefits of data governance as data is an asset that it is unique when compared to other enterprise assets
  • Explains how to conduct readiness checks before exploring the market to purchase a data governance tool
  • Provides different perspectives from thought leaders and data experts on this complex topic

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Table of contents (5 chapters)

Keywords

About this book

This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data.  Considering the business impact of data, there needs to be adequate management around it to derive the best value. 
 
Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. 
 
This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives.





Authors and Affiliations

  • Strathfield, Australia

    Rupa Mahanti

About the author

Rupa Mahanti, Ph.D. is a Business and Information Management consultant and has worked in different solution environments, industries and geographies. She helps clients with activities such as business process improvement, information management (such as DQ, DG, etc.), strategy and more. She is an associate editor at Software Quality Professional, and the author of Data Quality.

Bibliographic Information

  • Book Title: Data Governance and Data Management

  • Book Subtitle: Contextualizing Data Governance Drivers, Technologies, and Tools

  • Authors: Rupa Mahanti

  • DOI: https://doi.org/10.1007/978-981-16-3583-0

  • Publisher: Springer Singapore

  • eBook Packages: Business and Management, Business and Management (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

  • Hardcover ISBN: 978-981-16-3582-3Published: 09 September 2021

  • Softcover ISBN: 978-981-16-3585-4Published: 10 September 2022

  • eBook ISBN: 978-981-16-3583-0Published: 08 September 2021

  • Edition Number: 1

  • Number of Pages: XXXIII, 195

  • Number of Illustrations: 2 b/w illustrations, 38 illustrations in colour

  • Topics: IT in Business, Systems and Data Security, Statistics, general, Data Mining and Knowledge Discovery, Corporate Governance

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