• ISSN: 2301-3567
    • Frequency: Quarterly (2013-2014); Monthly (Since 2015)
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms Jessica C. Xiao
    • Abstracting/ Indexing: Engineering & Technology Library,  Electronic Journals Library, Ulrich's Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest.
    • E-mail: joebm@ejournal.net
JOEBM 2015 Vol.3(2): 292-296 ISSN: 2301-3567
DOI: 10.7763/JOEBM.2015.V3.197

Obscure Business Intelligence OBI: Predictor Analytical Strategies for Maximum Business Performance and Market Dynamics

Ahmed Kamel and Kathleen Irwin
Abstract—This paper discusses the hidden connections among customers and products across several organizations that may not otherwise be linked. The research includes several business performance measurements along with customer behavior and purchase patterns. It links inventory levels of supplied materials to final product shipments and products or sub products ordered by various customers. This enables detection of hidden and unknown connections between customer behaviors in different geographic locations and in various stretches of time. The discovery of hidden lag times between seemingly unrelated customers’ buying patterns, and hence, market behavior, is also demonstrated. This allows for model development for predicting market dynamics across the business and multiple variables. The model will be enable forecasting, with some degree of accuracy, market segment behavior and business dynamics, as triggered by various changes in the business environment. One of the greatest benefits realized was the ability to cut lead times, which meant businesses could meet customer demands sooner than the typical lead times, providing an edge over competition and making this a selling point by itself.

Index Terms—Big data, operations management, enterprise resource systems, decision analysis.

The authors are with the School of Business, American Public University System-Charles Town, WV, USA (e-mail: ahmed.kamel@mycampus.apus.edu, kirwin@apus.edu).

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Cite: Ahmed Kamel and Kathleen Irwin, "Obscure Business Intelligence OBI: Predictor Analytical Strategies for Maximum Business Performance and Market Dynamics," Journal of Economics, Business and Management vol. 3, no. 2, pp. 292-296, 2015.

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