LEADER 02947nam 2200637 a 450 001 9910456210203321 005 20200520144314.0 010 $a1-282-76014-9 010 $a9786612760143 010 $a1-84816-535-8 035 $a(CKB)2490000000001907 035 $a(EBL)731330 035 $a(OCoLC)670430044 035 $a(SSID)ssj0000425164 035 $a(PQKBManifestationID)12189618 035 $a(PQKBTitleCode)TC0000425164 035 $a(PQKBWorkID)10364160 035 $a(PQKB)10304895 035 $a(MiAaPQ)EBC731330 035 $a(WSP)0000P702 035 $a(Au-PeEL)EBL731330 035 $a(CaPaEBR)ebr10422398 035 $a(CaONFJC)MIL276014 035 $a(EXLCZ)992490000000001907 100 $a20101022d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPetrochemical economics$b[electronic resource] $etechnology selection in a carbon constrained world /$fDuncan Seddon 210 $aLondon $cImperial College Press$dc2010 215 $a1 online resource (268 p.) 225 1 $aCatalytic science series ;$vv. 8 300 $aDescription based upon print version of record. 311 $a1-84816-534-X 320 $aIncludes bibliographical references and index. 327 $aPreface; CONTENTS; Chapter 1: World Ethylene Production by Steam Cracking; Chapter 2: Chemistry of Olefin Production; Chapter 3: Gaseous Feedstocks - Production and Price; Chapter 4: Liquid Feedstock, Production and Price; Chapter 5: Value of Products, Storage and Transport; Chapter 6: Carbon Dioxide Emissions; ECONOMIC ANALYSIS; Chapter 7: Ethane Cracking; Chapter 8: LPG Cracking; Chapter 9: Liquid Feedstock Cracking; Chapter 10: Other Routes to Olefins from Hydrocarbons; Chapter 11: Routes to Olefins from Coal; APPENDICES; Index 330 $aThis compendium gives an overview of the technologies and economics in the production of olefins in the petrochemical industries. It highlights the options and costs for producing olefins using different technologies and different feedstocks at a time when the cost of carbon dioxide emissions are set to be included in the production cost. Industry professionals, engineers, research scientists and financiers will find this title a valuable resource. 410 0$aCatalytic science series ;$vv. 8. 606 $aPetroleum chemicals industry$xCosts 606 $aPetroleum chemicals industry$xTechnological innovations 608 $aElectronic books. 615 0$aPetroleum chemicals industry$xCosts. 615 0$aPetroleum chemicals industry$xTechnological innovations. 676 $a338.2/728 676 $a338.2728 676 $a338.47665538 700 $aSeddon$b Duncan$0883646 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456210203321 996 $aPetrochemical economics$91973644 997 $aUNINA 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