Authors:
- 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 case studies to show proof of concept
Part of the book series: Future of Business and Finance (FBF)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Graz, Austria
Uwe Seebacher
About the author
Bibliographic Information
Book Title: Predictive Intelligence for Data-Driven Managers
Book Subtitle: Process Model, Assessment-Tool, IT-Blueprint, Competence Model and Case Studies
Authors: Uwe Seebacher
Series Title: Future of Business and Finance
DOI: https://doi.org/10.1007/978-3-030-69403-6
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-69402-9Published: 27 March 2021
Softcover ISBN: 978-3-030-69405-0Published: 29 March 2022
eBook ISBN: 978-3-030-69403-6Published: 26 March 2021
Series ISSN: 2662-2467
Series E-ISSN: 2662-2475
Edition Number: 1
Number of Pages: XIII, 268
Number of Illustrations: 80 b/w illustrations
Additional Information: Translated from German: Predictive Intelligence für Manager, Edited by Uwe Seebacher, 2021. Copyright © The Author(s), under exclusive license to Springer-Verlag GmbH. All rights reserved.
Topics: IT in Business, Computer Science, general, Market Research/Competitive Intelligence