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ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING

Data mining delivers fact-based insight into how customer service business processes have been executed from the data collected to handle the problems and requests of customers. Unified customer service known as customer self-service or intelligent facilities refers to the managerial effort to...

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Main Author: ABDUL RAHIM, NURALIAH
Format: Final Year Project
Language:English
Published: IRC 2020
Subjects:
Q Science (General)
Online Access:http://utpedia.utp.edu.my/21814/1/23321_Nuraliah%20Abdul%20Rahim.pdf
http://utpedia.utp.edu.my/21814/
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spelling my-utp-utpedia.218142021-09-24T09:56:14Z http://utpedia.utp.edu.my/21814/ ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING ABDUL RAHIM, NURALIAH Q Science (General) Data mining delivers fact-based insight into how customer service business processes have been executed from the data collected to handle the problems and requests of customers. Unified customer service known as customer self-service or intelligent facilities refers to the managerial effort to technologies and processes to resolved issues for the customers. In this report, data mining as a data analysis tool will be implemented to extract the information and hidden knowledge to enhance the decision-making process for better management of resources. Moreover, the analysis focuses on the current customer service management and how to apply the data mining technology to partitioning problems and determine who is responsible to resolve the problem. Hence, this paper contribute to justify by the basic concepts of data mining, described the selected types and models of algorithms, and the process of data mining by using R Tools. IRC 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21814/1/23321_Nuraliah%20Abdul%20Rahim.pdf ABDUL RAHIM, NURALIAH (2020) ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
ABDUL RAHIM, NURALIAH
ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING
description Data mining delivers fact-based insight into how customer service business processes have been executed from the data collected to handle the problems and requests of customers. Unified customer service known as customer self-service or intelligent facilities refers to the managerial effort to technologies and processes to resolved issues for the customers. In this report, data mining as a data analysis tool will be implemented to extract the information and hidden knowledge to enhance the decision-making process for better management of resources. Moreover, the analysis focuses on the current customer service management and how to apply the data mining technology to partitioning problems and determine who is responsible to resolve the problem. Hence, this paper contribute to justify by the basic concepts of data mining, described the selected types and models of algorithms, and the process of data mining by using R Tools.
format Final Year Project
author ABDUL RAHIM, NURALIAH
author_facet ABDUL RAHIM, NURALIAH
author_sort ABDUL RAHIM, NURALIAH
title ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING
title_short ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING
title_full ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING
title_fullStr ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING
title_full_unstemmed ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING
title_sort analysis of customer service business process using data mining
publisher IRC
publishDate 2020
url http://utpedia.utp.edu.my/21814/1/23321_Nuraliah%20Abdul%20Rahim.pdf
http://utpedia.utp.edu.my/21814/
_version_ 1739832916281655296
score 13.211869

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