Factors contributing to the successful implementation of data mining tool for business intelligence: A Malaysian perspective
The study aimed to identify and investigate the main factors or key elements that contributing to the successful implementation of data mining tool to analyse big data in company in Malaysia. By implementing the data mining tools successfully in the company, it allows the company to make better deci...
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my-mmu-ep.59052015-06-24T03:50:46Z Factors contributing to the successful implementation of data mining tool for business intelligence: A Malaysian perspective 2014-10 Ho, Kian Horng QA75.5-76.95 Electronic computers. Computer science QA76.75-76.765 Computer software The study aimed to identify and investigate the main factors or key elements that contributing to the successful implementation of data mining tool to analyse big data in company in Malaysia. By implementing the data mining tools successfully in the company, it allows the company to make better decision, improve customer relationship, able to compete with the global companies, increase the growth of local economics and improve the market growth. In order to achieve the objective of the study, the researcher adopted the descriptive analytical research approach. The sample of the study consisted of 195 participants from the public listed companies and small and medium enterprises in Malaysia. 2014-10 Thesis http://shdl.mmu.edu.my/5905/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Graduate School of Management |
institution |
Multimedia University |
collection |
MMU Institutional Repository |
topic |
QA75.5-76.95 Electronic computers Computer science QA76.75-76.765 Computer software |
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QA75.5-76.95 Electronic computers Computer science QA76.75-76.765 Computer software Ho, Kian Horng Factors contributing to the successful implementation of data mining tool for business intelligence: A Malaysian perspective |
description |
The study aimed to identify and investigate the main factors or key elements that contributing to the successful implementation of data mining tool to analyse big data in company in Malaysia. By implementing the data mining tools successfully in the company, it allows the company to make better decision, improve customer relationship, able to compete with the global companies, increase the growth of local economics and improve the market growth. In order to achieve the objective of the study, the researcher adopted the descriptive analytical research approach. The sample of the study consisted of 195 participants from the public listed companies and small and medium enterprises in Malaysia. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Ho, Kian Horng |
author_facet |
Ho, Kian Horng |
author_sort |
Ho, Kian Horng |
title |
Factors contributing to the successful implementation of data mining tool for business intelligence: A Malaysian perspective |
title_short |
Factors contributing to the successful implementation of data mining tool for business intelligence: A Malaysian perspective |
title_full |
Factors contributing to the successful implementation of data mining tool for business intelligence: A Malaysian perspective |
title_fullStr |
Factors contributing to the successful implementation of data mining tool for business intelligence: A Malaysian perspective |
title_full_unstemmed |
Factors contributing to the successful implementation of data mining tool for business intelligence: A Malaysian perspective |
title_sort |
factors contributing to the successful implementation of data mining tool for business intelligence: a malaysian perspective |
granting_institution |
Multimedia University |
granting_department |
Graduate School of Management |
publishDate |
2014 |
_version_ |
1747829600421937152 |