Journal of International Association of P2M
Online ISSN : 2432-0374
An Investigation of Program Management using Simplified Framework of Big Data Analysis
Takashi KAKIMOTOHiroshi KUBO
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2015 Volume 10 Issue 2 Pages 39-54

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Abstract
Methodology of big data analysis consisting of statistical analysis and mathematical analysis is highly specialized in wider range of application, so therefore, problem of program management which includes big data analysis is difficulty of management by non-specialized manager. Proposal for this issue was made by utilizing simplified framework of big data analysis in scheme model, and the efficacy was explained while showing imaginary examples in fields of healthcare, energy, environment and so on. Moreover, the way of proceeding program with big data analysis was investigated even though there is a bottle neck of technology and business. As a result, it was suggested that both short-term and long-term outcome can be easily planed by using the simplified framework. An utilization of data base from serendipity platform in stage-gate and policy making for ROI were investigated, and its affinity in P2M was confirmed.
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© 2015 International Association of P2M and Authors
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