000			03176nam a22003495i 4500
001			91205
005			20231026103803.0
010			_a978-981-19-5719-2 _dcompra
090			_a91205
100			_a20231023d2022 k||y0pory50 ba
101	0		_aeng
102			_aSG
200	1		_aDefining enterprise data and analytics strategy _bDocumento eletrónico _epragmatic guidance on defining strategy based on successful digital transformation experience of multiple fortune 500 and other global companies _fby Prakash Sah
210			_aSingapore _cSpringer Nature Singapore _cSpringer _d2022
215			_aXV, 174 p. _cil.
225	2		_aManagement for Professionals
303			_aThis book describes key elements of enterprise data and analytics strategy and prescribes a pragmatic approach to define strategy for large enterprises. It is based on successful digital transformation experience of multiple Fortune 500 and other large enterprises. It is estimated that more than 50% of data and analytics initiatives fail globally because of inherent complexities of such initiatives. The book discusses key challenges that enterprises struggle with, such as-defining enterprise data and analytics strategy, and key elements that should be considered while doing so; limitations of one-size-fits-all approach which does not work for all enterprises; aligning data and analytics initiative with business strategy of the CEO; establishing a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies; defining the right data and analytics organization model and structure; reasons why data and analytics organization and processes need to be different from other functions; managing organizational change to ensure success of data and analytics initiative; defining a business value measurement framework and calculating ROI from data and analytics initiative; and key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise. Often, data and analytics leaders define a strategy that is focused primarily on technology and architecture. This leads to failure of a majority of data and analytics initiatives across enterprises. The book recommends defining a holistic strategy through five key elements - (a) business capabilities, (b) technology and architecture, (c) team, processes, and governance, (d) organizational change management, and (e) value measurement framework. The book helps executives, chief digital/analytics officers, data and analytics professionals, consultants, and students in addressing various challenges and dilemmas that they face every day to make their enterprises more data driven.
606			_aStrategic planning
606			_aLeadership
606			_aQuantitative research
606			_aBusiness information services
606			_aBig data
606			_aInformation technology _xManagement
606			_aStatistics
680			_aHD30.28
680			_aHD57.7
700	1		_aSah _bPrakash
801		0	_aPT _gRPC
856	4		_uhttps://doi.org/10.1007/978-981-19-5719-2
942			_2lcc _cF _n0