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Business Intelligence Techniques : a Perspective from Accounting and Finance

Author: Murugan Anandarajan; Asokan Anandarajan; Cadambi A Srinivasan
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Murugan Anandarajan; Asokan Anandarajan; Cadambi A Srinivasan
ISBN: 9783540247005 3540247009
OCLC Number: 851810251
Description: 1 online resource (x, 268 pages)
Contents: A Historical Overview of Accounting Information Systems --
Importance of Data in Decision-Making --
Populating the Accounting Data Warehouse --
The Accounting Centric Data Warehouse --
XBRL: A New Tool for Electronic Financial Reporting --
Online Analytical Processing in Accounting --
Bankruptcy Prediction Using Neural Networks --
Visualization of Patterns in Accounting Data with Self-Organizing Maps --
Visual Representations of Accounting Information --
Alignment of AIS with Business Intelligence Requirements --
A Methodology for Developing Business Intelligence Systems --
An OO Approach to Designing Business Intelligence Systems --
Evaluating Business Intelligence: A Balanced Scorecard Approach --
A Stakeholder Model of Business Intelligence.
Responsibility: edited by Murugan Anandarajan, Asokan Anandarajan, Cadambi A. Srinivasan.

Abstract:

Modern businesses generate huge volumes of accounting data on a daily basis. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can  Read more...

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