| Business Intelligence Techniques: A Perspective from Accounting and Finance 2004 Edition Contributor(s): Anandarajan, Murugan (Editor), Anandarajan, Asokan (Editor), Srinivasan, Cadambi A. (Editor) |
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ISBN: 3540408207 ISBN-13: 9783540408208 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: October 2003 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Business & Economics | Information Management - Business & Economics | Accounting - General - Computers | Management Information Systems |
| Dewey: 650 |
| LCCN: 2003065298 |
| Physical Information: 0.69" H x 6.14" W x 9.21" (1.27 lbs) 268 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |
