As organizations deploy business intelligence and analytic systems to harness business value from their data assets, data governance programs are quickly gaining prominence. And, although data management issues have traditionally been addressed by IT departments, organizational issues critical to successful data management require the implementation of enterprise-wide accountabilities and responsibilities. Data Governance: Creating Value from Information Assets examines the processes of using data governance to manage data effectively. Addressing the complete life cycle of effective data governance—from metadata management to privacy and compliance—it provides business managers, IT professionals, and students with an integrated approach to designing, developing, and sustaining an effective data governance strategy. Explains how to align data governance with business goals Describes how to build successful data stewardship with a governance framework Outlines strategies for integrating IT and data governance frameworks Supplies business-driven and technical perspectives on data quality management, metadata management, data access and security, and data lifecycle The book summarizes the experiences of global experts in the field and addresses critical areas of interest to the information systems and management community. Case studies from healthcare and financial sectors, two industries that have successfully leveraged the potential of data-driven strategies, provide further insights into real-time practice. Facilitating a comprehensive understanding of data governance, the book addresses the burning issue of aligning data assets to both IT assets and organizational strategic goals. With a focus on the organizational, operational, and strategic aspects of data governance, the text provides you with the understanding required to leverage, derive, and sustain maximum value from the informational assets housed in your IT infrastructure.
This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable.
Jonathan Reichental. 10. Organizations want to reap the benefits of data abundance while managing its growing risks. In ... Everywhere to be a valuable asset and treat it accordingly. This 0005479560.INDD 10 October 17, 2022 3:15 PM Trim ...
In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research.
Last accessed on 31 March 2018, from https://www.ironsidegroup.com/2017/02/15/unders tanding-data-governance-tools-documents-processes-people/ Talburt JR and Zhou, Y (2015) Entity Information Life Cycle for Big Data: Master Data ...
Through good data governance, you can inspire customer trust, enable your organization to identify business efficiencies, generate more competitive offerings, and improve customer experience. This book shows you how.
2014 in their book, “Information Governance: Principles and Practices for a Big Data Landscape” give an example of evolution of policies to address requirements related to increasing velocity that is one the characteristics of big data.
Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization.
In chapter 3 of David Loshin's book The Practitioner's Guide to Data Quality Improvement ( The Practitioner's Guide to Data Quality Improvement , Elsevier , 2011 ) , Loshin catalogs eight sets of Component Maturity Model Descriptions ...
The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.
This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines.