LEADER 04605nam 22007455 450 001 9910624316603321 005 20251009103421.0 010 $a9789811957192$b(electronic bk.) 010 $z9789811957185 024 7 $a10.1007/978-981-19-5719-2 035 $a(MiAaPQ)EBC7132900 035 $a(Au-PeEL)EBL7132900 035 $a(CKB)25299330800041 035 $a(PPN)266350836 035 $a(DE-He213)978-981-19-5719-2 035 $a(OCoLC)1350849736 035 $a(EXLCZ)9925299330800041 100 $a20221106d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDefining Enterprise Data and Analytics Strategy $ePragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies /$fby Prakash Sah 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (186 pages) 225 1 $aManagement for Professionals,$x2192-810X 311 08$aPrint version: Sah, Prakash Defining Enterprise Data and Analytics Strategy Singapore : Springer,c2022 9789811957185 330 $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. 410 0$aManagement for Professionals,$x2192-810X 606 $aStrategic planning 606 $aLeadership 606 $aQuantitative research 606 $aBusiness information services 606 $aBig data 606 $aInformation technology$xManagement 606 $aStatistics 606 $aBusiness Strategy and Leadership 606 $aData Analysis and Big Data 606 $aEnterprise Architecture 606 $aBig Data 606 $aBusiness Process Management 606 $aApplied Statistics 615 0$aStrategic planning. 615 0$aLeadership. 615 0$aQuantitative research. 615 0$aBusiness information services. 615 0$aBig data. 615 0$aInformation technology$xManagement. 615 0$aStatistics. 615 14$aBusiness Strategy and Leadership. 615 24$aData Analysis and Big Data. 615 24$aEnterprise Architecture. 615 24$aBig Data. 615 24$aBusiness Process Management. 615 24$aApplied Statistics. 676 $a658.4012 700 $aSah$b Prakash$01265941 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910624316603321 996 $aDefining Enterprise Data and Analytics Strategy$92968393 997 $aUNINA