Business intelligence techniques

A perspective from accounting and finance

Asokan Anandarajan, Murugan Anandarajan, Cadambi A. Srinivasan, Collectif Springer

278 pages, parution le 13/11/2003

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Résumé

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.

Contributors : Patrick W. Devine, Maliha S. Zaman, Ken Jones, Daniel W. Hughes, Jia Wu, Miklos Vasarhelyi, Darvan S. Jhaveri, Picheng Lee, Eija Koskivaara, Richard B. Dull, David P. Tegarden, Andreas L. Nicolaou, Bay Arinze, Onuora Amobi, Kathleen S. Hartzel, Trevor H. Jones, Valerie C. Trott, Barbara M. Vinciguerra, Claire A. Simmers

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
References
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Asokan Anandarajan, Murugan Anandarajan, Cadambi A. Srinivasan, Collectif Springer
Parution	13/11/2003
Nb. de pages	278
Format	16 x 24
Couverture	Relié
Poids	535g
Intérieur	Noir et Blanc
EAN13	9783540408208