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Bigdata Analysis Project Development Methodology
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2014, 19(3), pp.73-85
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2014, 19(3), pp.73-85
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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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 acorporate in a systematic way and evaluate the problem w.r.t. a business value after solving theproblem. This paper propose Scientific Data Anslysis and Development methodology(SDAD) whichare integrated methodology of software development and project management for easier applicationinto 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 interchangethe productions with them. This paper, lastly, introduces a way to assign responsible persons foreach process and provide communication procedures in RACI chart to improves the efficiency of theinteraction among professionals from different subjects. SDAD is applied to a Bigdata project inKorea Employment Information Services institution and the result turned out to be acceptablewhen evaluated by the supervision.
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