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Business Intelligence

First European Summer School, eBISS 2011, Paris, France, July 3-8, 2011, Tutorial Lectures

  • Marie-Aude Aufaure
  • Esteban Zimányi

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 96)

Table of contents

  1. Front Matter
  2. Alejandro Vaisman, Esteban Zimányi
    Pages 1-26
  3. Alexander Löser, Sebastian Arnold, Tillmann Fiehn
    Pages 84-97
  4. Juan Trujillo, Alejandro Maté
    Pages 98-116
  5. Etienne Cuvelier, Marie-Aude Aufaure
    Pages 117-138
  6. Alberto Abelló, Oscar Romero
    Pages 156-185
  7. Stefano Rizzi
    Pages 186-205
  8. Back Matter

About this book

Introduction

Business Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena and the evolution of society and users, and needs to take into account high-level semantics, reasoning about unstructured and structured data, and to provide a simplified access and better understanding of diverse BI tools accessible trough mobile devices. 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.

The lectures held at the First European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI technologies like data warehouses, OLAP query processing, or performance issues, but extend into new aspects that are important in this new environment and for novel applications, e.g., semantic technologies, social network analysis and graphs, services, large-scale management, or collaborative decision making.

Combining papers by leading researchers in the field, this volume will equip the reader with the state-of-the-art background necessary for inventing the future of BI. It will also provide the reader with an excellent basis and many pointers for further research in this growing field.

Keywords

Business Intelligence Data Warehouses OLAP - Online Analytical Processing

Editors and affiliations

  • Marie-Aude Aufaure
    • 1
  • Esteban Zimányi
    • 2
  1. 1.MAS LaboratoryEcole Centrale ParisChâtenay-Malabry CedexFrance
  2. 2.Department of Computer & Decision Engineering (CoDE) CP 165/15Universite Libre de BruxellesBrusselsBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-27358-2
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-27357-5
  • Online ISBN 978-3-642-27358-2
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site
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