A Study of Applying Big Data to the Development and Layout of Business Intelligence System for the Retailing Industry
碩士 === 淡江大學 === 資訊管理學系碩士班 === 103 === The retailing industry when facing the growing large volume of system data, how to integrate the novel big data concept with the existing business intelligence (BI) system or BI system about to establish; and how to expand the BI system’s life cycle and its furt...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/sr94gm |
| Summary: | 碩士 === 淡江大學 === 資訊管理學系碩士班 === 103 === The retailing industry when facing the growing large volume of system data, how to integrate the novel big data concept with the existing business intelligence (BI) system or BI system about to establish; and how to expand the BI system’s life cycle and its further development became an essential issue.
The research aims to discuss how the retailing industry extend the application of the big data concept after BI-system been established and further integrate the big data theories to maintain the value of existing BI systems. A prototype system was developed after literature analysis of the definitions of “Retailing Industry” and “Big Data”. And then the expert interview method was adopted to find the intention and status quo of the industry on big data application. After the prototype system been trailed by the experts, it is summarized and suggested that: 1. the retailing industry shall utilize the big data concept to extend BI systems; 2. RFM (Recency Frequency Monetary) model can be used to evaluate customers’ attribution; and 3. the data value definition of big data can be used to generate new profit modes. The research achievements can be provided to the retailing industry as references to apply big data in BI system establishment.
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