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020 _a9783030694036
024 7 _a10.1007/978-3-030-69403-6
_2doi
040 _aES-VaU
_bspa
_cES-VaU
_dES-VaU
050 4 _aHF54.5-54.56
_b2021 EB
100 1 _aSeebacher, Uwe.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 0 0 _aPredictive Intelligence for Data-Driven Managers :
_bProcess Model, Assessment-Tool, IT-Blueprint, Competence Model and Case Studies
_cby Uwe Seebacher
250 _a1st ed. 2021.
264 1 _aCham
_c2021
_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 _a1. Predictive Intelligence and the Basic Economic Principles -- 2. Predictive Intelligence at a Glance -- 3. The Predictive Intelligence Ecosystem -- 4. The Predictive Intelligence Maturity Model -- 5. The Predictive Intelligence Self-Assessment -- 6. The Process Model for Predictive Intelligence -- 7. The Predictive Intelligence TechStack (PITechStack) -- 8. The Predictive Intelligence Team -- 9. The Predictive Intelligence Case Studies -- 10. Why It Remains Exciting.
520 _aThis book describes how companies can easily and pragmatically set up and realize the path to a data-driven enterprise, especially in the marketing practice, without external support and additional investments. Using a predictive intelligence (PI) ecosystem, the book first introduces and explains the most important concepts and terminology. The PI maturity model then describes the phases in which you can build a PI ecosystem in your company. The book also demonstrates a PI self-test which helps managers identify the initial steps. In addition, a blueprint for a PI tech stack is defined for the first time, showing how IT can best support the topic. Finally, the PI competency model summarizes all elements into an action model for the company. The entire book is underpinned with practical examples, and case studies show how predictive intelligence, in the spirit of data-driven management, can be used profitably in the short, medium, and long terms.
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-69403-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Business_2021
999 _c239265
_d239265