Business intelligence techniques: a perspective from accounting and finance
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 usa...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Heidelberg
Springer
2004
|
| Schlagworte: | |
| Online-Zugang: | BTU01 UBT01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (x, 268 Seiten) |
| ISBN: | 9783540247005 |
| DOI: | 10.1007/978-3-540-24700-5 |
Internformat
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| 520 | 3 | |a 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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| spelling | Business intelligence techniques a perspective from accounting and finance Murugan Anandarajan, Asokan Anandarajan, Cadambi A. Srinivasan (editors) Berlin ; Heidelberg Springer 2004 1 Online-Ressource (x, 268 Seiten) txt rdacontent c rdamedia cr rdacarrier 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 Management Accounting (DE-588)4125415-6 gnd rswk-swf Data-Warehouse-Konzept (DE-588)4406462-7 gnd rswk-swf Business Intelligence (DE-588)4588307-5 gnd rswk-swf Economics Auditing Management information systems 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Business Intelligence (DE-588)4588307-5 s Management Accounting (DE-588)4125415-6 s Data-Warehouse-Konzept (DE-588)4406462-7 s 2\p DE-604 Anandarajan, Murugan 1961- (DE-588)128478624 edt Anandarajan, Asokan (DE-588)171756010 edt Srinivasan, Cadambi A. edt Erscheint auch als Druck-Ausgabe 978-3-642-07403-5 https://doi.org/10.1007/978-3-540-24700-5 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Business intelligence techniques a perspective from accounting and finance Management Accounting (DE-588)4125415-6 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd Business Intelligence (DE-588)4588307-5 gnd |
| subject_GND | (DE-588)4125415-6 (DE-588)4406462-7 (DE-588)4588307-5 (DE-588)4143413-4 |
| title | Business intelligence techniques a perspective from accounting and finance |
| title_auth | Business intelligence techniques a perspective from accounting and finance |
| title_exact_search | Business intelligence techniques a perspective from accounting and finance |
| title_exact_search_txtP | Business intelligence techniques a perspective from accounting and finance |
| title_full | Business intelligence techniques a perspective from accounting and finance Murugan Anandarajan, Asokan Anandarajan, Cadambi A. Srinivasan (editors) |
| title_fullStr | Business intelligence techniques a perspective from accounting and finance Murugan Anandarajan, Asokan Anandarajan, Cadambi A. Srinivasan (editors) |
| title_full_unstemmed | Business intelligence techniques a perspective from accounting and finance Murugan Anandarajan, Asokan Anandarajan, Cadambi A. Srinivasan (editors) |
| title_short | Business intelligence techniques |
| title_sort | business intelligence techniques a perspective from accounting and finance |
| title_sub | a perspective from accounting and finance |
| topic | Management Accounting (DE-588)4125415-6 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd Business Intelligence (DE-588)4588307-5 gnd |
| topic_facet | Management Accounting Data-Warehouse-Konzept Business Intelligence Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-540-24700-5 |
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