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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Main Author: Ho, Kian Horng
Format: Thesis
Published: 2014
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id my-mmu-ep.5905
record_format uketd_dc
spelling 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
spellingShingle 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