Business Intelligence Techniques: A Perspective from Accounting and Finance

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Springer Science & Business Media, 2004 - Business & Economics - 268 pages

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
V
41
VI
55
VII
73
VIII
93
IX
117
XI
133
XIII
167
XIV
181
XV
197
XVI
213
XVII
227
XVIII
243
XIX
263
XX
267

XII
149

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