Integrating Business intelligence and analytics in managing public sector performance

An empirical study

Nur Hani Zulkifli Abai, Jamaiah Yahaya, Aziz Deraman, Abdul Razak Hamdan, Zulkefli Mansor, Yusmadi Yah Jusoh

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Business intelligence and analytics (BIA) is emerging as a critical area to boost organizational performance. Nowadays, data is not only important and valuable to the organization but recognized as necessary to spike the organization performance and success. As a result, many organizations spend a considerable amount of investment toward obtaining faster accurate information on a real-time basis. The previous study revealed that even though many organizations use business intelligence technologies for obtaining information, yet they still lack analytics implementation. Therefore, this study aims to discover the integrated implementation factors of business intelligence and analytics in managing organizational performance, particularly for organizations of the public sector. In achieving this, a depth literature review was carried out to identify the influential factors in the implementation of business intelligence, business analytics, and performance management. The subject matter experts in Business Intelligence (BI), Business Analytics (BA) and Organisational Performance Management (OPM) were invited to participate in this empirical study, which was conducted in Malaysia. The study was carried out through interviewing experts, in order to identify the essential factors for business intelligence and data analytics implementation. Twenty essential factors and sixty-four sub-factors were identified and analyzed to construct the integrated factors in BIA and OPM implementation. The result of the study revealed four integrated factors of the BIA and OPM implementation, such as skill, documentation, visualization, and work culture. Finance, data management, software, strategic planning, and decision-making are other factors integrated with BI, BA, and OPM respectively. Finally, this study illustrates the integrated factors in a visual form.

Original languageEnglish
Pages (from-to)172-180
Number of pages9
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume9
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019

Fingerprint

Competitive intelligence
public sector
Public Sector
Intelligence
Organizations
Industry
Strategic planning
Finance
Information management
finance
information technology
Malaysia
Visualization
Decision making
Documentation
decision making
Decision Making
Software
planning

Keywords

  • Business analytics
  • Business intelligence
  • Implementation factor
  • Organisational performance management
  • Public sector

ASJC Scopus subject areas

  • Computer Science(all)
  • Agricultural and Biological Sciences(all)
  • Engineering(all)

Cite this

@article{bddced869b0b46c7acfc81cf962cb0f9,
title = "Integrating Business intelligence and analytics in managing public sector performance: An empirical study",
abstract = "Business intelligence and analytics (BIA) is emerging as a critical area to boost organizational performance. Nowadays, data is not only important and valuable to the organization but recognized as necessary to spike the organization performance and success. As a result, many organizations spend a considerable amount of investment toward obtaining faster accurate information on a real-time basis. The previous study revealed that even though many organizations use business intelligence technologies for obtaining information, yet they still lack analytics implementation. Therefore, this study aims to discover the integrated implementation factors of business intelligence and analytics in managing organizational performance, particularly for organizations of the public sector. In achieving this, a depth literature review was carried out to identify the influential factors in the implementation of business intelligence, business analytics, and performance management. The subject matter experts in Business Intelligence (BI), Business Analytics (BA) and Organisational Performance Management (OPM) were invited to participate in this empirical study, which was conducted in Malaysia. The study was carried out through interviewing experts, in order to identify the essential factors for business intelligence and data analytics implementation. Twenty essential factors and sixty-four sub-factors were identified and analyzed to construct the integrated factors in BIA and OPM implementation. The result of the study revealed four integrated factors of the BIA and OPM implementation, such as skill, documentation, visualization, and work culture. Finance, data management, software, strategic planning, and decision-making are other factors integrated with BI, BA, and OPM respectively. Finally, this study illustrates the integrated factors in a visual form.",
keywords = "Business analytics, Business intelligence, Implementation factor, Organisational performance management, Public sector",
author = "Abai, {Nur Hani Zulkifli} and Jamaiah Yahaya and Aziz Deraman and Hamdan, {Abdul Razak} and Zulkefli Mansor and Jusoh, {Yusmadi Yah}",
year = "2019",
month = "1",
day = "1",
doi = "10.18517/ijaseit.9.1.6694",
language = "English",
volume = "9",
pages = "172--180",
journal = "International Journal on Advanced Science, Engineering and Information Technology",
issn = "2088-5334",
publisher = "INSIGHT - Indonesian Society for Knowledge and Human Development",
number = "1",

}

TY - JOUR

T1 - Integrating Business intelligence and analytics in managing public sector performance

T2 - An empirical study

AU - Abai, Nur Hani Zulkifli

AU - Yahaya, Jamaiah

AU - Deraman, Aziz

AU - Hamdan, Abdul Razak

AU - Mansor, Zulkefli

AU - Jusoh, Yusmadi Yah

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Business intelligence and analytics (BIA) is emerging as a critical area to boost organizational performance. Nowadays, data is not only important and valuable to the organization but recognized as necessary to spike the organization performance and success. As a result, many organizations spend a considerable amount of investment toward obtaining faster accurate information on a real-time basis. The previous study revealed that even though many organizations use business intelligence technologies for obtaining information, yet they still lack analytics implementation. Therefore, this study aims to discover the integrated implementation factors of business intelligence and analytics in managing organizational performance, particularly for organizations of the public sector. In achieving this, a depth literature review was carried out to identify the influential factors in the implementation of business intelligence, business analytics, and performance management. The subject matter experts in Business Intelligence (BI), Business Analytics (BA) and Organisational Performance Management (OPM) were invited to participate in this empirical study, which was conducted in Malaysia. The study was carried out through interviewing experts, in order to identify the essential factors for business intelligence and data analytics implementation. Twenty essential factors and sixty-four sub-factors were identified and analyzed to construct the integrated factors in BIA and OPM implementation. The result of the study revealed four integrated factors of the BIA and OPM implementation, such as skill, documentation, visualization, and work culture. Finance, data management, software, strategic planning, and decision-making are other factors integrated with BI, BA, and OPM respectively. Finally, this study illustrates the integrated factors in a visual form.

AB - Business intelligence and analytics (BIA) is emerging as a critical area to boost organizational performance. Nowadays, data is not only important and valuable to the organization but recognized as necessary to spike the organization performance and success. As a result, many organizations spend a considerable amount of investment toward obtaining faster accurate information on a real-time basis. The previous study revealed that even though many organizations use business intelligence technologies for obtaining information, yet they still lack analytics implementation. Therefore, this study aims to discover the integrated implementation factors of business intelligence and analytics in managing organizational performance, particularly for organizations of the public sector. In achieving this, a depth literature review was carried out to identify the influential factors in the implementation of business intelligence, business analytics, and performance management. The subject matter experts in Business Intelligence (BI), Business Analytics (BA) and Organisational Performance Management (OPM) were invited to participate in this empirical study, which was conducted in Malaysia. The study was carried out through interviewing experts, in order to identify the essential factors for business intelligence and data analytics implementation. Twenty essential factors and sixty-four sub-factors were identified and analyzed to construct the integrated factors in BIA and OPM implementation. The result of the study revealed four integrated factors of the BIA and OPM implementation, such as skill, documentation, visualization, and work culture. Finance, data management, software, strategic planning, and decision-making are other factors integrated with BI, BA, and OPM respectively. Finally, this study illustrates the integrated factors in a visual form.

KW - Business analytics

KW - Business intelligence

KW - Implementation factor

KW - Organisational performance management

KW - Public sector

UR - http://www.scopus.com/inward/record.url?scp=85062416420&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062416420&partnerID=8YFLogxK

U2 - 10.18517/ijaseit.9.1.6694

DO - 10.18517/ijaseit.9.1.6694

M3 - Article

VL - 9

SP - 172

EP - 180

JO - International Journal on Advanced Science, Engineering and Information Technology

JF - International Journal on Advanced Science, Engineering and Information Technology

SN - 2088-5334

IS - 1

ER -