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General Information
    • ISSN: 2382-6185
    • Abbreviated Title: Int. J. Knowl. Eng.
    • Frequency: Semiyearly
    • DOI: 10.18178/IJKE
    • Editor-in-Chief: Prof. Chen-Huei Chou
    • Executive Editor: Ms. Shira,W.Lu
    • Indexed by: Google Scholar, Crossref, ProQuest
    • E-mail: ijke@ejournal.net
Prof. Chen-Huei Chou
College of Charleston, SC, USA
It is my honor to be the editor-in-chief of IJKE. I will do my best to help develop this journal better.
IJKE 2017 Vol.3(1): 17-24 ISSN: 2382-6185
doi: 10.18178/ijke.2017.3.1.081

An Integrated Framework to Quantify Strategic Diversifications in Real-Time Enterprise Industrializing Alliances of Big Data Architecture

Vikas S. Shah

Abstract—Recent advancements in digital technologies (DTs) have fundamentally enabled collectives to collaborate on analyzing, disseminating, and leveraging the data for many enterprise-wide applications. Real-time access to changing characteristics of analytical information is critical for an enterprise to run a competitive business and respond to a dynamics of marketplace. Enterprises are predominantly recognizing that business processes (BPs) are the driving force in developing new innovations and competitive strategies to enable appropriate Big Data Architecture Patterns (BDAPs) such that the critical and sustainable factors are in the existence of entities. The integration of BDAPs with BPs can become a centralized instrument for enterprises in accurately construe business scenarios. The generic BDAPs are immature and requires a vast amount of BP performance data in order to support a valuable analysis with highest level of granularity. Existing alliances between BDAPs and BP lifecycle are daunting to rationalize characteristics of a real-time enterprise. In this paper, we recognize that as enterprises become more BDAP driven, it’s only natural that those insights find their way into the BPs that can place them into action. We provide an approach to derive and customize BDAP for specific BP association to timely delivery of the required information and regardless of the underlying concerns of the DTs. We illustrate the ability to accustom the solution that sustains real-time capabilities of an enterprise in presence of anticipated BPs’ performance objectives utilizing BDAPs.

Index Terms—Big data architecture patterns (BDAPs), business processes (BPs), digital technologies (DTs), degree of coverage (DoC), real-time enterprises (REs).

Vikas S. Shah is with Connect Enterprise Services Consulting, Wipro Technologies, East Brunswick, NJ, USA (e-mail: vikas.shah@wipro.com).


Cite: Vikas S. Shah, "An Integrated Framework to Quantify Strategic Diversifications in Real-Time Enterprise Industrializing Alliances of Big Data Architecture," International Journal of Knowledge Engineering vol. 3, no. 1, pp. 17-24 , 2017.

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E-mail: ijke@ejournal.net