DATA MINING AND ERP: AN APPLICATION IN RETAIL SECTOR

Ozlem Akcay Kasapoglu () and Umman Tugba Gursoy ()
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Ozlem Akcay Kasapoglu: ISTANBUL UN?VERS?TY FACULTY OF BUSINESS ADMINISTRATION
Umman Tugba Gursoy: ISTANBUL UNIVERSITY FACULTY OF BUSINESS ADMINISTRATION

No 2604440, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

Abstract: Many medium or large scale organizations with large databases invest on advance data collecting and managing systems. The main point of turning this data into your success is the difficulty of extracting knowledge about the system that you study from the collected data. Enterprise Resource Planning (ERP) software helps companies to put all previously separated data to in single software. ERP has several advantages. Storing whole data in a single place make it possible to analyze data from different business functions. Because a large scale of data are in the same place, new tools are needed to analyze them. In this study customer purchase records from the the biggest computer retailing firm?s data in Turkey were analyzed. Association Rules were used to determine the shopping behavior of the customers. According to the results, various rule sets are obtained. This rule sets can be used for purposes such as store layout, shelf arrangement in the store, products can be placed close together to increase sales and other promotional strategies.

Keywords: ERP; Data Mining; Association Rules; Retailing. (search for similar items in EconPapers)
JEL-codes: C88 (search for similar items in EconPapers)
Pages: 10 pages
Date: 2015-07
New Economics Papers: this item is included in nep-ara and nep-cwa
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Published in Proceedings of the Proceedings of the 17th International Academic Conference, Vienna, Jul 2015, pages 212-221

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