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http://dx.doi.org/10.14400/JDC.2015.13.1.227

A Study on the Effective Approaches to Big Data Planning  

Namn, Su Hyeon (Dept. of MIS, Hannam University)
Noh, Kyoo-Sung (Dept. of Business Administration, Sunmoon University)
Publication Information
Journal of Digital Convergence / v.13, no.1, 2015 , pp. 227-235 More about this Journal
Abstract
Big data analysis is a means of organizational problem solving. For an effective problem solving, approaches to problem solving should take into account the factors such as characteristics of problem, types and availability of data, data analytic capability, and technical capability. In this article we propose three approaches: logical top-down, data driven bottom-up, and prototyping for overcoming undefined problem circumstances. In particular we look into the relationship of creative problem solving with the bottom-up approach. Based on the organizational data governance and data analytic capability, we also derive strategic issues concerning the sourcing of big data analysis.
Keywords
Big data planning; Data Convergence; Top-down approach; Bottom-up approach; Prototyping approach; Data governance;
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