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

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 i...

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Main Authors: Mohamad, Abdul Karim, Jayakrishnan, Mailasan, Mohd Yusof, Mokhtar
Format: Article
Language:English
Published: American Scientific Publishers 2018
Subjects:
H Social Sciences (General)
HF Commerce
Online Access:http://eprints.utem.edu.my/id/eprint/21480/2/ICCNA2017%20%28Paper%201%29.pdf
http://eprints.utem.edu.my/id/eprint/21480/
https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000003/art00053
https://doi.org/10.1166/asl.2018.11157
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spelling my.utem.eprints.214802021-07-05T11:04:29Z http://eprints.utem.edu.my/id/eprint/21480/ Understanding Holistic View And Complexities In Big Data Analytics And Business Intelligence (BI) Towards Establishing Strategic Performance Management:A Case Study Mohamad, Abdul Karim Jayakrishnan, Mailasan Mohd Yusof, Mokhtar H Social Sciences (General) HF Commerce 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. American Scientific Publishers 2018-04 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/21480/2/ICCNA2017%20%28Paper%201%29.pdf 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 https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000003/art00053 https://doi.org/10.1166/asl.2018.11157
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic H Social Sciences (General)
HF Commerce
spellingShingle H Social Sciences (General)
HF Commerce
Mohamad, Abdul Karim
Jayakrishnan, Mailasan
Mohd Yusof, Mokhtar
Understanding Holistic View And Complexities In Big Data Analytics And Business Intelligence (BI) Towards Establishing Strategic Performance Management:A Case Study
description 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.
format Article
author Mohamad, Abdul Karim
Jayakrishnan, Mailasan
Mohd Yusof, Mokhtar
author_facet Mohamad, Abdul Karim
Jayakrishnan, Mailasan
Mohd Yusof, Mokhtar
author_sort Mohamad, Abdul Karim
title Understanding Holistic View And Complexities In Big Data Analytics And Business Intelligence (BI) Towards Establishing Strategic Performance Management:A Case Study
title_short Understanding Holistic View And Complexities In Big Data Analytics And Business Intelligence (BI) Towards Establishing Strategic Performance Management:A Case Study
title_full Understanding Holistic View And Complexities In Big Data Analytics And Business Intelligence (BI) Towards Establishing Strategic Performance Management:A Case Study
title_fullStr Understanding Holistic View And Complexities In Big Data Analytics And Business Intelligence (BI) Towards Establishing Strategic Performance Management:A Case Study
title_full_unstemmed Understanding Holistic View And Complexities In Big Data Analytics And Business Intelligence (BI) Towards Establishing Strategic Performance Management:A Case Study
title_sort understanding holistic view and complexities in big data analytics and business intelligence (bi) towards establishing strategic performance management:a case study
publisher American Scientific Publishers
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/21480/2/ICCNA2017%20%28Paper%201%29.pdf
http://eprints.utem.edu.my/id/eprint/21480/
https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000003/art00053
https://doi.org/10.1166/asl.2018.11157
_version_ 1705060054327099392
score 13.211869

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