The determinants of integrated business intelligence and analytics in organisational performance process

Nur Hani Zulkifli Abai, Jamaiah Yahaya, Aziz Deraman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The development of information and communication technologies facilitates the usage and dissemination of digital information to the user and organization in general. Information supports organizations to gain profits, increase business influence and promote innovation. The data are not only important for reporting purposes but in current demand, data analytical view may yield inclusive important for meaningful analytical process for the organisation. The needs are increasing especially in managing organizational performance. Business Intelligence (BI) is the current suitable technology for managing and analysing data. However, isolated implementation of BI and analytics today has further limited the data manipulation in performance management. Therefore, the objective of this study is to determine the integrated business intelligence and analytics elements in managing organizational performance. Empirical study was conducted in Malaysia by interviewing field experts to identify the essential integrated elements for business intelligence and data analytics implementation. The outcome of this study has identified 20 essential elements which may be used as the inputs to the development of business intelligence and analytics framework specifically for managing organisation performance in public sector.

Original languageEnglish
Title of host publicationProceedings of the 2017 6th International Conference on Electrical Engineering and Informatics
Subtitle of host publicationSustainable Society Through Digital Innovation, ICEEI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2017-November
ISBN (Electronic)9781538604755
DOIs
Publication statusPublished - 9 Mar 2018
Event6th International Conference on Electrical Engineering and Informatics, ICEEI 2017 - Langkawi, Malaysia
Duration: 25 Nov 201727 Nov 2017

Other

Other6th International Conference on Electrical Engineering and Informatics, ICEEI 2017
CountryMalaysia
CityLangkawi
Period25/11/1727/11/17

Fingerprint

Business Intelligence
Competitive intelligence
Intelligence
Determinant
Organizations
Performance Management
Public Sector
Malaysia
Information and Communication Technology
Technology
Information Dissemination
Empirical Study
Profit
Manipulation
Profitability
Innovation
Communication
Outcome Assessment (Health Care)
Industry

Keywords

  • Business Analytics
  • Business Intelligence
  • Organisational Performance Management
  • Public Sector

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Software
  • Electrical and Electronic Engineering
  • Health Informatics

Cite this

Abai, N. H. Z., Yahaya, J., & Deraman, A. (2018). The determinants of integrated business intelligence and analytics in organisational performance process. In Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017 (Vol. 2017-November, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEI.2017.8312452

The determinants of integrated business intelligence and analytics in organisational performance process. / Abai, Nur Hani Zulkifli; Yahaya, Jamaiah; Deraman, Aziz.

Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abai, NHZ, Yahaya, J & Deraman, A 2018, The determinants of integrated business intelligence and analytics in organisational performance process. in Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 6th International Conference on Electrical Engineering and Informatics, ICEEI 2017, Langkawi, Malaysia, 25/11/17. https://doi.org/10.1109/ICEEI.2017.8312452
Abai NHZ, Yahaya J, Deraman A. The determinants of integrated business intelligence and analytics in organisational performance process. In Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/ICEEI.2017.8312452
Abai, Nur Hani Zulkifli ; Yahaya, Jamaiah ; Deraman, Aziz. / The determinants of integrated business intelligence and analytics in organisational performance process. Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
@inproceedings{6227d11ddfbe47e68e084c8f7eefc023,
title = "The determinants of integrated business intelligence and analytics in organisational performance process",
abstract = "The development of information and communication technologies facilitates the usage and dissemination of digital information to the user and organization in general. Information supports organizations to gain profits, increase business influence and promote innovation. The data are not only important for reporting purposes but in current demand, data analytical view may yield inclusive important for meaningful analytical process for the organisation. The needs are increasing especially in managing organizational performance. Business Intelligence (BI) is the current suitable technology for managing and analysing data. However, isolated implementation of BI and analytics today has further limited the data manipulation in performance management. Therefore, the objective of this study is to determine the integrated business intelligence and analytics elements in managing organizational performance. Empirical study was conducted in Malaysia by interviewing field experts to identify the essential integrated elements for business intelligence and data analytics implementation. The outcome of this study has identified 20 essential elements which may be used as the inputs to the development of business intelligence and analytics framework specifically for managing organisation performance in public sector.",
keywords = "Business Analytics, Business Intelligence, Organisational Performance Management, Public Sector",
author = "Abai, {Nur Hani Zulkifli} and Jamaiah Yahaya and Aziz Deraman",
year = "2018",
month = "3",
day = "9",
doi = "10.1109/ICEEI.2017.8312452",
language = "English",
volume = "2017-November",
pages = "1--6",
booktitle = "Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - The determinants of integrated business intelligence and analytics in organisational performance process

AU - Abai, Nur Hani Zulkifli

AU - Yahaya, Jamaiah

AU - Deraman, Aziz

PY - 2018/3/9

Y1 - 2018/3/9

N2 - The development of information and communication technologies facilitates the usage and dissemination of digital information to the user and organization in general. Information supports organizations to gain profits, increase business influence and promote innovation. The data are not only important for reporting purposes but in current demand, data analytical view may yield inclusive important for meaningful analytical process for the organisation. The needs are increasing especially in managing organizational performance. Business Intelligence (BI) is the current suitable technology for managing and analysing data. However, isolated implementation of BI and analytics today has further limited the data manipulation in performance management. Therefore, the objective of this study is to determine the integrated business intelligence and analytics elements in managing organizational performance. Empirical study was conducted in Malaysia by interviewing field experts to identify the essential integrated elements for business intelligence and data analytics implementation. The outcome of this study has identified 20 essential elements which may be used as the inputs to the development of business intelligence and analytics framework specifically for managing organisation performance in public sector.

AB - The development of information and communication technologies facilitates the usage and dissemination of digital information to the user and organization in general. Information supports organizations to gain profits, increase business influence and promote innovation. The data are not only important for reporting purposes but in current demand, data analytical view may yield inclusive important for meaningful analytical process for the organisation. The needs are increasing especially in managing organizational performance. Business Intelligence (BI) is the current suitable technology for managing and analysing data. However, isolated implementation of BI and analytics today has further limited the data manipulation in performance management. Therefore, the objective of this study is to determine the integrated business intelligence and analytics elements in managing organizational performance. Empirical study was conducted in Malaysia by interviewing field experts to identify the essential integrated elements for business intelligence and data analytics implementation. The outcome of this study has identified 20 essential elements which may be used as the inputs to the development of business intelligence and analytics framework specifically for managing organisation performance in public sector.

KW - Business Analytics

KW - Business Intelligence

KW - Organisational Performance Management

KW - Public Sector

UR - http://www.scopus.com/inward/record.url?scp=85050810343&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050810343&partnerID=8YFLogxK

U2 - 10.1109/ICEEI.2017.8312452

DO - 10.1109/ICEEI.2017.8312452

M3 - Conference contribution

VL - 2017-November

SP - 1

EP - 6

BT - Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics

PB - Institute of Electrical and Electronics Engineers Inc.

ER -