Fundamentals of Business Intelligence - new book

EAN (ISBN-13): 9783662465318
ISBN (ISBN-10): 3662465310
Publishing year: 2015
Publisher: Springer Berlin

Book in our database since 2015-09-11T10:49:01+01:00 (London)
Detail page last modified on 2024-01-19T06:41:26+00:00 (London)
ISBN/EAN: 9783662465318

ISBN - alternate spelling:
3-662-46531-0, 978-3-662-46531-8
Alternate spelling and related search-keywords:
Book author: grossmann, rinderle, stefan grossman, stefan gross
Book title: business fundamentals, business intelligence

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Information from Publisher

Author: Wilfried Grossmann; Stefanie Rinderle-Ma
Title: Data-Centric Systems and Applications; Fundamentals of Business Intelligence
Publisher: Springer; Springer Berlin
348 Pages
Publishing year: 2015-06-02
Berlin; Heidelberg; DE
Language: English
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XVIII, 348 p. 116 illus., 81 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Data Mining; Verstehen; BPM; OLAP; big data; business intelligence; business process management; data mining; data warehouses; decision support systems; online analytical processing; process mining; C; Data Mining and Knowledge Discovery; Business Information Systems; Computer Application in Administrative Data Processing; Computer and Information Systems Applications; Business Process Management; Computer Science; Wissensbasierte Systeme, Expertensysteme; Wirtschaftsmathematik und -informatik, IT-Management; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Angewandte Informatik; BB

The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the conceptsbehind business intelligence will benefit from the clear explanations and many examples.
Comprehensive and systematic introduction to BI with special emphasis on process data and business process management Illustrates all concepts through selected examples and by using open source tools like R and ProM Accompanying Web site provides additional exercises and detailed code for solutions Includes supplementary material: sn.pub/extras