| 書目名稱 | Predictive Intelligence for Data-Driven Managers | | 副標(biāo)題 | Process Model, Asses | | 編輯 | Uwe Seebacher | | 視頻video | http://file.papertrans.cn/755/754590/754590.mp4 | | 概述 | Offers terminology, maturity model, and examples for predictive intelligence in business.Applies knowledge from theory and practice using a problem-solving and application-oriented approach.Presents c | | 叢書名稱 | Future of Business and Finance | | 圖書封面 |  | | 描述 | This 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.. | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | IT in Business; Business Analytics; Predictive Intelligence; IT-Blueprint; Process Model | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-69403-6 | | isbn_softcover | 978-3-030-69405-0 | | isbn_ebook | 978-3-030-69403-6Series ISSN 2662-2467 Series E-ISSN 2662-2475 | | issn_series | 2662-2467 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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