i-Dashboard: real-time business intelligence for decision support

RAKANNUSA CORPORATION (M) SDN BHD has been in operation since the year 2000.It is a PETRONAS registered manufacturer and supplier for the petroleum industry in Malaysia. As the company aims to open up as many new business opportunities as possible through mutually beneficial collaborations with est...

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Main Authors: Siraj, Fadzilah, Abu Bakar, Nur Azzah, Yusoff, Nooraini, Ahmad, Abdul Razaq, Sahazudin, Faizzudin
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://repo.uum.edu.my/20189/1/ICKT15%2054%2060.pdf
http://repo.uum.edu.my/20189/
https://drive.google.com/drive/folders/0ByBlFVsjNeg5bkVCMWs0Mk1IeDQ
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spelling my.uum.repo.201892016-12-05T03:35:26Z http://repo.uum.edu.my/20189/ i-Dashboard: real-time business intelligence for decision support Siraj, Fadzilah Abu Bakar, Nur Azzah Yusoff, Nooraini Ahmad, Abdul Razaq Sahazudin, Faizzudin QA75 Electronic computers. Computer science RAKANNUSA CORPORATION (M) SDN BHD has been in operation since the year 2000.It is a PETRONAS registered manufacturer and supplier for the petroleum industry in Malaysia. As the company aims to open up as many new business opportunities as possible through mutually beneficial collaborations with esteemed customers and strategic partners worldwide, it is very important that the management is able to monitor, plan, communicate and evaluate its financial and resources in a timely manner.A monitoring tool known as I-Dashboard is to transfer to RAKANNUSA in order to facilitate faster decision making by the management.Initially, RAKANNUSA requirement has been gathered based on the three major types of businesses, namely, Services, Trading and Manufacturing.This paper presented I-Dashboard for RAKANNUSA that provides a multiple - screen display of its related department that supports in decision making.In addition, the Finance Department provides the financial status of the company whereas the Technical and Sales Department provides the sales track record, current status of inventory and product movement. The Human Resource Department indicates the manpower available to carry out the request from the clients. The dynamic graphs are generated by integrating the information by the above mentioned departments.Hence, I-Dashboard is used as the main platform to integrate data from various departments, process the information and to communicate between departments so that, the top management is able to make quick decisions. The tailored I-Dashboard information shows that this project has successfully achieved its target in transferring the knowledge between university academia and industry. 2015-12-01 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/20189/1/ICKT15%2054%2060.pdf Siraj, Fadzilah and Abu Bakar, Nur Azzah and Yusoff, Nooraini and Ahmad, Abdul Razaq and Sahazudin, Faizzudin (2015) i-Dashboard: real-time business intelligence for decision support. In: International Conference on Knowledge Transfer (ICKT'15), 1 - 3 December 2015, Putrajaya, Malaysia. https://drive.google.com/drive/folders/0ByBlFVsjNeg5bkVCMWs0Mk1IeDQ
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Siraj, Fadzilah
Abu Bakar, Nur Azzah
Yusoff, Nooraini
Ahmad, Abdul Razaq
Sahazudin, Faizzudin
i-Dashboard: real-time business intelligence for decision support
description RAKANNUSA CORPORATION (M) SDN BHD has been in operation since the year 2000.It is a PETRONAS registered manufacturer and supplier for the petroleum industry in Malaysia. As the company aims to open up as many new business opportunities as possible through mutually beneficial collaborations with esteemed customers and strategic partners worldwide, it is very important that the management is able to monitor, plan, communicate and evaluate its financial and resources in a timely manner.A monitoring tool known as I-Dashboard is to transfer to RAKANNUSA in order to facilitate faster decision making by the management.Initially, RAKANNUSA requirement has been gathered based on the three major types of businesses, namely, Services, Trading and Manufacturing.This paper presented I-Dashboard for RAKANNUSA that provides a multiple - screen display of its related department that supports in decision making.In addition, the Finance Department provides the financial status of the company whereas the Technical and Sales Department provides the sales track record, current status of inventory and product movement. The Human Resource Department indicates the manpower available to carry out the request from the clients. The dynamic graphs are generated by integrating the information by the above mentioned departments.Hence, I-Dashboard is used as the main platform to integrate data from various departments, process the information and to communicate between departments so that, the top management is able to make quick decisions. The tailored I-Dashboard information shows that this project has successfully achieved its target in transferring the knowledge between university academia and industry.
format Conference or Workshop Item
author Siraj, Fadzilah
Abu Bakar, Nur Azzah
Yusoff, Nooraini
Ahmad, Abdul Razaq
Sahazudin, Faizzudin
author_facet Siraj, Fadzilah
Abu Bakar, Nur Azzah
Yusoff, Nooraini
Ahmad, Abdul Razaq
Sahazudin, Faizzudin
author_sort Siraj, Fadzilah
title i-Dashboard: real-time business intelligence for decision support
title_short i-Dashboard: real-time business intelligence for decision support
title_full i-Dashboard: real-time business intelligence for decision support
title_fullStr i-Dashboard: real-time business intelligence for decision support
title_full_unstemmed i-Dashboard: real-time business intelligence for decision support
title_sort i-dashboard: real-time business intelligence for decision support
publishDate 2015
url http://repo.uum.edu.my/20189/1/ICKT15%2054%2060.pdf
http://repo.uum.edu.my/20189/
https://drive.google.com/drive/folders/0ByBlFVsjNeg5bkVCMWs0Mk1IeDQ
_version_ 1644282885461508096
score 13.149126