000			03301nam a22003855i 4500
999			_c238300 _d238300
001			238300
003			ES-VaUE
005			20240524152336.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			230425s2023 sz | o |||| 0|eng d
020			_a9783031264016
024	7		_a10.1007/978-3-031-26401-6 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aHF54.56 _b2023 EB
100	1		_aLanger, Arthur _eautor _4http://id.loc.gov/vocabulary/relators/aut _9518261
245	1	0	_aDeveloping a Path to Data Dominance : _bStrategies for Digital Data-Centric Enterprises _cby Arthur Langer, Arka Mukherjee
250			_a1st ed 2023
264	0	1	_aCham _c2023 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aFuture of Business and Finance _x2662-2475
505	0		_aAn Introduction to Data Dominance -- The Digital Data-Centric Enterprise: Case Studies -- The Product Strategy -- The Data Strategy -- Data: Organizing the Data Ecosystem -- Process: Building Digital Data-Centric Products -- Culture: Friction in Scaling the Product Portfolio -- Alignment: Data Strategy Management and Leadership -- Effects of Wireless Communications and IoT on Data Aggregation -- Blockchain Data Architecture -- Transforming Legacy Systems to Data Platforms -- Conclusion.
520			_aMost existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engaged in the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.
988			_aSpringer_Business_2023
650		7	_2embne _99948 _aEmpresas _xRecursos en Internet
700	1		_9518262 _aMukherjee, Arka _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-26401-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE _n0
998			_b01/2024 _db _el _zSI