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001			239505
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008			211213s2021 si | o |||| 0|eng d
020			_a9789811650864
024	7		_a10.1007/978-981-16-5086-4 _2doi
040			_aES-VaU _bspa _cES-VaU _dES-VaU
050		4	_aHF54.5-54.56 _b2021 EB
100	1		_aMahanti, Rupa. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aData Governance Success : _bGrowing and Sustaining Data Governance _cby Rupa Mahanti
250			_a1st ed. 2021.
264		1	_aSingapore _c2021 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aData Governance- Challenges and Dynamics -- Strategy and Data Governance -- Data Governance Maturity Models -- Data Governance Organization -- Data Governance Metrics.
520			_aWhile 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.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5086-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Business_2021
999			_c239505 _d239505