© 2004

Business Intelligence Techniques

A Perspective from Accounting and Finance

  • Murugan Anandarajan
  • Asokan Anandarajan
  • Cadambi A. Srinivasan


  • Combines a rather established area (accounting) with the fast developing field of business intelligence

  • Shows how to use information technology to improve traditional accounting methods, giving management quicker and more cost efficient information


Table of contents

  1. Front Matter
    Pages I-X
  2. Asokan Anandarajan, C. A. Srinivasan, Murugan Anandarajan
    Pages 1-19
  3. Patrick W. Devine, C. A. Srinivasan, Maliha S. Zaman
    Pages 21-39
  4. Daniel W. Hughes
    Pages 55-72
  5. Jia Wu, Miklos Vasarhelyi
    Pages 73-92
  6. Darpan S. Jhaveri
    Pages 93-115
  7. Murugan Anandarajan, Picheng Lee, Asokan Anandarajan
    Pages 117-132
  8. Richard B. Dull, David P. Tegarden
    Pages 149-166
  9. Bay Arinze, Onuora Amobi
    Pages 181-195
  10. Kathleen S. Hartzel, Trevor H. Jones, Valerie C. Trott
    Pages 197-212
  11. Claire A. Simmers
    Pages 227-242
  12. Back Matter
    Pages 243-268

About this book


Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given organizations the ability to capture and store these data in an efficient and effective manner. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include, query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas. While these chapters stand of their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment.


Accounting Alignment Balanced Scorecard Data Warehousing Information Technology (IT) On-Line Analytical Processing business intelligence data mining data warehouse information system linear optimization networks organization statistical analy

Editors and affiliations

  • Murugan Anandarajan
    • 1
  • Asokan Anandarajan
    • 2
  • Cadambi A. Srinivasan
    • 3
  1. 1.Department of ManagementDrexel UniversityPhiladelphiaUSA
  2. 2.School of Management, New Jersey Institute of TechnologyUniversity HeightsNewarkUSA
  3. 3.Department of AccountingDrexel UniversityPhiladelphiaUSA

Bibliographic information

  • Book Title Business Intelligence Techniques
  • Book Subtitle A Perspective from Accounting and Finance
  • Editors Murugan Anandarajan
    Asokan Anandarajan
    Cadambi A. Srinivasan
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-3-540-40820-8
  • Softcover ISBN 978-3-642-07403-5
  • eBook ISBN 978-3-540-24700-5
  • Edition Number 1
  • Number of Pages X, 268
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Accounting/Auditing
    IT in Business
  • Buy this book on publisher's site