Overview
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
Includes supplementary material: sn.pub/extras
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Table of contents (14 chapters)
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Front Matter
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Back Matter
Keywords
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.
Editors and Affiliations
Bibliographic Information
Book Title: Business Intelligence Techniques
Book Subtitle: A Perspective from Accounting and Finance
Editors: Murugan Anandarajan, Asokan Anandarajan, Cadambi A. Srinivasan
DOI: https://doi.org/10.1007/978-3-540-24700-5
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-40820-8Published: 16 October 2003
Softcover ISBN: 978-3-642-07403-5Published: 30 November 2010
eBook ISBN: 978-3-540-24700-5Published: 02 November 2012
Edition Number: 1
Number of Pages: X, 268
Topics: Accounting/Auditing, IT in Business