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Data Governance Success - Growing and Sustaining Data Governance (Hardcover, 1st ed. 2021)
Loot Price: R2,287
Discovery Miles 22 870
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Data Governance Success - Growing and Sustaining Data Governance (Hardcover, 1st ed. 2021)
Expected to ship within 12 - 17 working days
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While good data is an enterprise asset, bad data is an enterprise
liability. Data governance enables you to effectively and
proactively manage data assets throughout the enterprise by
providing guidance in the form of policies, standards, processes
and rules and defining roles and responsibilities outlining who
will do what, with respect to data. While implementing data
governance is not rocket science, it is not a simple exercise.
There is a lot confusion around what data governance is, and a lot
of challenges in the implementation of data governance. Data
governance is not a project or a one-off exercise but a journey
that involves a significant amount of effort, time and investment
and cultural change and a number of factors to take into
consideration to achieve and sustain data governance success. Data
Governance Success: Growing and Sustaining Data Governance is the
third and final book in the Data Governance series and discusses
the following: * Data governance perceptions and challenges * Key
considerations when implementing data governance to achieve and
sustain success* Strategy and data governance* Different data
governance maturity frameworks* Data governance - people and
process elements* Data governance metrics This book shares the
combined knowledge related to data and data governance that the
author has gained over the years of working in different industrial
and research programs and projects associated with data, processes,
and technologies and unique perspectives of Thought Leaders and
Data Experts through Interviews conducted. This book will be highly
beneficial for IT students, academicians, information management
and business professionals and researchers to enhance their
knowledge to support and succeed in data governance
implementations. This book is technology agnostic and contains a
balance of concepts and examples and illustrations making it easy
for the readers to understand and relate to their own specific data
projects.
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