A Study on the Effective Approaches to Big Data Planning
In: Journal of Digital Convergence, Jg. 13 (2015-01-28), S. 227-235
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Zugriff:
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. Key Words : Big data planning, Data Convergence, Top-down approach, Bottom-up approach, Prototyping approach,Data governance * The research was supported by the 2014 Hannam University Research Fund.Received 5 November 2014, Revised 8 December 2014Accepted 20 January 2015Corresponding Author: Kyoo-Sung Noh (SunMoon University)Email: ksnoh@sunmoon.ac.krⒸ The Society of Digital Policy & Management. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is ISSN: 1738-1916 properly cited.
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A Study on the Effective Approaches to Big Data Planning
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Autor/in / Beteiligte Person: | Su Hyeon Namn ; Noh, Kyoo-Sung |
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Zeitschrift: | Journal of Digital Convergence, Jg. 13 (2015-01-28), S. 227-235 |
Veröffentlichung: | The Korea Society of Digital Policy and Management, 2015 |
Medientyp: | unknown |
ISSN: | 1738-1916 (print) |
DOI: | 10.14400/jdc.2015.13.1.227 |
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