Business Intelligence Techniques: A Perspective from Accounting and Finance / Edition 1

Business Intelligence Techniques: A Perspective from Accounting and Finance / Edition 1

by Murugan Anandarajan
     
 

ISBN-10: 3642074030

ISBN-13: 9783642074035

Pub. Date: 12/07/2010

Publisher: Springer Berlin Heidelberg

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 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

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Overview

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 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 on their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment.

Product Details

ISBN-13:
9783642074035
Publisher:
Springer Berlin Heidelberg
Publication date:
12/07/2010
Edition description:
Softcover reprint of hardcover 1st ed. 2004
Pages:
268
Product dimensions:
6.10(w) x 9.25(h) x 0.24(d)

Table of Contents

1 Historical Overview of Accounting Information Systems.- 2 Importance of Data in Decision-Making.- 3 Populating the Accounting Data Warehouse.- 4 The Accounting Centric Data Warehouse TM.- 5 XBRL; A New Tool For Electronic Financial Reporting.- 6 Online Analytical Processing in Accounting.- 7 Bankruptcy Prediction Using Neural Networks.- 8 Visualization of Patterns in Accounting Data with Self-organizing Maps.- 9 Visual Representations of Accounting Information.- 10 Alignment of AIS with Business Intelligence Requirements.- 11 A Methodology for Developing Business Intelligence Systems.- 12 An 00 Approach to Designing Business Intelligence Systems.- 13 Evaluating Business Intelligence: A Balanced Scorecard Approach.- 14 A Stakeholder Model of Business Intelligence.- References.- List of Contributors.

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