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http://dx.doi.org/10.9708/jksci.2014.19.3.073

Bigdata Analysis Project Development Methodology  

Kim, Hyoungrae (Korea Employment Information Service)
Jeon, Do-hong (Kwandong University)
Jee, Sunghyun (Korea Employment Information Service)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.3, 2014 , pp. 73-85 More about this Journal
Abstract
As the importance of big data analysis increases to improve the competitiveness of a corporate, a unified big data project development methodology is required in order to study the problem of a corporate in a systematic way and evaluate the problem w.r.t. a business value after solving the problem. This paper propose Scientific Data Anslysis and Development methodology(SDAD) which are integrated methodology of software development and project management for easier application into a field project. SDAD consisits of 6 stages(problem definition stage, data preparation stage, model design stage, model development stage, result extraction stage, service development state), each stages has detailed processes(47) and productions(93). SDAD, furthermore, unified previous ISP, DW, SW development methodologies in terms of the data analysis and can easily interchange the productions with them. This paper, lastly, introduces a way to assign responsible persons for each process and provide communication procedures in RACI chart to improves the efficiency of the interaction among professionals from different subjects. SDAD is applied to a Bigdata project in Korea Employment Information Services institution and the result turned out to be acceptable when evaluated by the supervision.
Keywords
Bigdata project; Development methodology; Scientific data analysis & development methodology; Corporate competitiveness;
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Times Cited By KSCI : 3  (Citation Analysis)
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