Business Intelligence Techniques: A Perspective from Accounting and Finance

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Springer Science & Business Media, Oct 16, 2003 - Business & Economics - 268 pages
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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.

 

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Contents

II
1
III
21
IV
41
V
55
VI
73
VII
93
VIII
117
IX
133
XI
167
XII
181
XIII
197
XIV
213
XV
227
XVI
243
XVII
263
XVIII
267

X
149

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About the author (2003)

Murugan Anandarajan is an assistant professor of management informaton systems in the department of management at Drexel University. He is a coauthor of Artificial Neural Networks in Glaucoma Classification. He lives in Newark, New Jersey.

Newark, NJ; Professor of Accounting; New Jersey Institute of Technology

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