What is it about?
The objective of this study is to demonstrate how big data file types could be analyzed with statistical modeling software for identifying hidden factor relationships that could assist organizational leadership in strategic decision making.
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Why is it important?
The results of this study could be used by business managers to inform their choice of selecting marketing partners or supply chain providers, as well as for scaling down operations in a potentially risky area.
Perspectives
This study addressed the literature gap, identified by other researchers, that there are too few examples of applied empirical big data analytics. The authors used a global terrorism big data sample that was over 64 MB in size and contained 125,087 records with 133 fields amounting to 16,636, 571 data points.
Assoc. Prof. Narasimha Rao Vajjhala
University of New York at Tirana
Read the Original
This page is a summary of: Statistical Modeling and Visualizing Open Big Data Using a Terrorism Case Study, August 2015, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/ficloud.2015.15.
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