Overview
- Concise and comprehensive introduction to various aspects of business intelligence (BI)
- Combines traditional BI technologies with new topics such as business semantics, Big Data analysis, and Linked Open Data
- Contributions conjointly written by leading researchers and industrial developers, striving for both high relevance and real-world applicability
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 172)
Included in the following conference series:
Conference proceedings info: eBISS 2013.
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About this book
To large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels. BI is now impacted by the “Big Data” phenomena and the evolution of society and users. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors’, suppliers’, or distributors’ data, governmental or NGO-based analysis and papers, or from research publications. In addition, they must be able to provide their results also on mobile devices, taking into account location-based or time-based environmental data.
The lectures held at the Third European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI and BPM technologies, but extend into innovative aspects that are important in this new environment and for novel applications, e.g., pattern and process mining, business semantics, Linked Open Data, and large-scale data management and analysis.
Combining papers by leading researchers in the field, this volume equips the reader with the state-of-the-art background necessary for creating the future of BI. It also provides the reader with an excellent basis and many pointers for further research in this growing field.
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Keywords
Table of contents (7 chapters)
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Front Matter
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Back Matter
Reviews
"This is an excellent book for anyone who wants to understand issues in pattern and process mining, forecasting, and data warehousing. It can be useful at the upper-undergraduate and graduate levels. It is also an excellent resource for engineers, analysts, researchers, and practitioners working with DW in the fields of marketing, computer science, and information technology." - Agliberto Alves Cierco, Computing Reviews, January 2015
Editors and Affiliations
Bibliographic Information
Book Title: Business Intelligence
Book Subtitle: Third European Summer School, eBISS 2013, Dagstuhl Castle, Germany, July 7-12, 2013, Tutorial Lectures
Editors: Esteban Zimányi
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-319-05461-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2014
Softcover ISBN: 978-3-319-05460-5Published: 02 April 2014
eBook ISBN: 978-3-319-05461-2Published: 20 March 2014
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: IX, 243
Number of Illustrations: 95 b/w illustrations
Topics: IT in Business, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Computer Appl. in Administrative Data Processing, Probability and Statistics in Computer Science