Understanding Holistic View And Complexities In Big Data Analytics And Business Intelligence (BI) Towards Establishing Strategic Performance Management:A Case Study

Mohamad, Abdul Karim and Jayakrishnan, Mailasan and Mohd Yusof, Mokhtar (2018) Understanding Holistic View And Complexities In Big Data Analytics And Business Intelligence (BI) Towards Establishing Strategic Performance Management:A Case Study. Advanced Science Letters, 24 (3). pp. 1775-1779. ISSN 1936-6612

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Abstract

We explore the contradictory pressures and features of holistic view in an organization that creates data value on organizational strategic performance using big data analytics and business intelligence (BI) engine within different conceptual frameworks and their impact on strategy development and implementation for strategic performance management.Big data analytics and BI are stressed due to the importance in enabling organizations to deriving better knowledge creation and decision making.Emerging knowledge from structuring big data and using BI together with observing MIT90s,McKinsey seven (7) S’s framework and survey findings are used as the baseline information framework for the formulation and implementation of BI and big data analytics towards designing strategic performance management for an organization.This conceptual framework relates the current big data analytics and BI stages in strategies adoption and implementation via displaying the organizational performance indicator.The outcome will be a design of a strategic performance framework for a typical strategic application.

Item Type:	Article
Uncontrolled Keywords:	Big Data Analytics; Business Intelligence; Information System; Knowledge Management; MIT90s Framework; McKinsey 7S’s Framework
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HF Commerce
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Mohd. Nazir Taib
Date Deposited:	31 Jan 2019 02:23
Last Modified:	05 Jul 2021 11:04
URI:	http://eprints.utem.edu.my/id/eprint/21480
Statistic Details:	View Download Statistic

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