Business Intelligence Techniques: A Perspective from Accounting and FinanceMurugan Anandarajan, Asokan Anandarajan, Cadambi A. Srinivasan 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. |
Contents
1 | |
10 | |
21 | |
Populating the Accounting Data Warehouse | 40 |
The Accounting Centric Data Warehouse | 61 |
XBRL A New Tool For Electronic Financial Reporting | 73 |
Online Analytical Processing in Accounting | 93 |
Bankruptcy Prediction Using Neural Networks | 117 |
Visual Representations of Accounting Information | 148 |
Nicolaou | 167 |
A Methodology for Developing Business Intelligence Systems | 181 |
An OO Approach to Designing Business Intelligence Systems | 196 |
A Balanced Scorecard Approach | 213 |
A Stakeholder Model of Business Intelligence | 227 |
References | 243 |
Index | 263 |
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Business Intelligence Techniques Murugan Anandarajan,Asokan Anandarajan,Cadambi A. Srinivasan No preview available - 2014 |