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The important dimensions for assessing organization's readiness toward business intelligence systems from the perspective of Malaysian organization

Nowadays, Business Intelligence (BI) is becoming as a necessity for a lot of organizations. Figures show that billions of US dollars are spent on BI systems annually. Unfortunately, according to statistics, more than half of BI projects are ending with unrealized benefit. Many researchers tried...

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Main Authors: H. Anjariny, Ahmed, Zeki, Akram M.
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/39816/1/The_Important_Dimensions_for_Assessing_Organization%27s_Readiness_Toward_Business_Intelligence_Systems_from_the_Perspective_of_Malaysian_Organization.pdf
http://irep.iium.edu.my/39816/
http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6836642
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spelling my.iium.irep.398162015-03-24T08:00:54Z http://irep.iium.edu.my/39816/ The important dimensions for assessing organization's readiness toward business intelligence systems from the perspective of Malaysian organization H. Anjariny, Ahmed Zeki, Akram M. T Technology (General) Nowadays, Business Intelligence (BI) is becoming as a necessity for a lot of organizations. Figures show that billions of US dollars are spent on BI systems annually. Unfortunately, according to statistics, more than half of BI projects are ending with unrealized benefit. Many researchers tried to investigate the reasons behind this failure rate, they found one the main reasons is that many organizations are not yet ready for such systems. Therefore, it is highly encouraged to assess organization’s readiness toward BI systems to avoid any losses and to enhance the overall revenue. At the same time, it was noticed that although many studies have been done, but none of them were done empirically on Malaysian context. So, an initiative has been taken, by the authors, to develop a model for assessing organization's readiness toward BI systems, based on the context of Malaysian Organizations (CMOs). This paper will uncover some results of the first round survey of this study. A brief introduction on BI systems and the challenges of their implementation will be presented. In addition, a review and analysis of models for assessing organizations’ readiness toward BI systems is provided. 2013-12 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/39816/1/The_Important_Dimensions_for_Assessing_Organization%27s_Readiness_Toward_Business_Intelligence_Systems_from_the_Perspective_of_Malaysian_Organization.pdf H. Anjariny, Ahmed and Zeki, Akram M. (2013) The important dimensions for assessing organization's readiness toward business intelligence systems from the perspective of Malaysian organization. In: 2013 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), 23rd-24th December 2013, Kuching, Sarawak. http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6836642
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
H. Anjariny, Ahmed
Zeki, Akram M.
The important dimensions for assessing organization's readiness toward business intelligence systems from the perspective of Malaysian organization
description Nowadays, Business Intelligence (BI) is becoming as a necessity for a lot of organizations. Figures show that billions of US dollars are spent on BI systems annually. Unfortunately, according to statistics, more than half of BI projects are ending with unrealized benefit. Many researchers tried to investigate the reasons behind this failure rate, they found one the main reasons is that many organizations are not yet ready for such systems. Therefore, it is highly encouraged to assess organization’s readiness toward BI systems to avoid any losses and to enhance the overall revenue. At the same time, it was noticed that although many studies have been done, but none of them were done empirically on Malaysian context. So, an initiative has been taken, by the authors, to develop a model for assessing organization's readiness toward BI systems, based on the context of Malaysian Organizations (CMOs). This paper will uncover some results of the first round survey of this study. A brief introduction on BI systems and the challenges of their implementation will be presented. In addition, a review and analysis of models for assessing organizations’ readiness toward BI systems is provided.
format Conference or Workshop Item
author H. Anjariny, Ahmed
Zeki, Akram M.
author_facet H. Anjariny, Ahmed
Zeki, Akram M.
author_sort H. Anjariny, Ahmed
title The important dimensions for assessing organization's readiness toward business intelligence systems from the perspective of Malaysian organization
title_short The important dimensions for assessing organization's readiness toward business intelligence systems from the perspective of Malaysian organization
title_full The important dimensions for assessing organization's readiness toward business intelligence systems from the perspective of Malaysian organization
title_fullStr The important dimensions for assessing organization's readiness toward business intelligence systems from the perspective of Malaysian organization
title_full_unstemmed The important dimensions for assessing organization's readiness toward business intelligence systems from the perspective of Malaysian organization
title_sort important dimensions for assessing organization's readiness toward business intelligence systems from the perspective of malaysian organization
publishDate 2013
url http://irep.iium.edu.my/39816/1/The_Important_Dimensions_for_Assessing_Organization%27s_Readiness_Toward_Business_Intelligence_Systems_from_the_Perspective_of_Malaysian_Organization.pdf
http://irep.iium.edu.my/39816/
http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6836642
_version_ 1643611702146629632
score 13.211869

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