Understanding Big Data Analytics (BDA) and Business Intelligence (BI) Towards Establishing Organizational Performance Diagnostics Framework
M. Jayakrishnan1, A. K. Mohamad2, M. M. Yusof3

1M. Jayakrishnan, Faculty of Information and Communication Technology, Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian, Tunggal, Melaka, Malaysia.
2A. K. Mohamad, Centre for Strategic, Quality and Risk Management, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia.
3M. M. Yusof, Centre for Strategic, Quality and Risk Management, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia.
Manuscript received on 25 May 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 26 June 2019 | PP: 128-132 | Volume-8 Issue-1S5 June 2019 | Retrieval Number: A00240681S519/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: We had observed the features of Big Data Analytics (BDA) and Business Intelligence (BI) in viewing the big picture of organizational performance diagnostics framework. BDA and BI are dynamic researches that had enabled organizations to capture and create better knowledge creation and decision making. The research goal is to provide a real world understanding of emerging knowledge derived from structuring big data and BI framework development. This framework relates the current BDA and BI stages with their analytic characteristics in designing the organizational performance framework. The outcome will be a design of a typical strategic application – the organizational dashboard.
Keywords: Big Data Analytics, Business Intelligence, Dashboard, Information System and Knowledge Management.
Scope of the Article: Big Data Analytics and Business Intelligence