A review of big data analytics on customer complaints in the electricity industry

Fulfilling customer satisfaction gives significant impact to any business including in the electricity industry. The key to achieving customer satisfaction is by providing them the best quality services at fair and reasonable costs. Customer complaints must be managed professionally and appropriatel...

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Main Authors: Saipol, H. F. S., Mohd. Drus, S., Othman, M.
Format: Article
Published: Inderscience Publishers 2021
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Online Access:http://eprints.utm.my/id/eprint/95739/
http://dx.doi.org/10.1504/IJBCRM.2021.116280
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spelling my.utm.957392022-05-31T13:18:29Z http://eprints.utm.my/id/eprint/95739/ A review of big data analytics on customer complaints in the electricity industry Saipol, H. F. S. Mohd. Drus, S. Othman, M. T Technology (General) Fulfilling customer satisfaction gives significant impact to any business including in the electricity industry. The key to achieving customer satisfaction is by providing them the best quality services at fair and reasonable costs. Customer complaints must be managed professionally and appropriately, and be leveraged to improve the quality of services and operational efficiency. In this regard, identifying the root cause of the problems becomes paramount in improving customer service for future improvement. The accumulated customer complaints generate massive data which can be fully utilised by using big data analytics. The purpose of this paper is to determine frequent customer complaint regarding electricity issue and review various methods of big data analytics that have been used to identify valuable insights within the data and to analyse the pattern that can be useful to find solutions to the problem, thus improving the electricity industry services especially in terms of complaint management. On the basis of a study of the different researches, different techniques of machine learning have been used because of its accuracy and in finding a pattern to solve the relevant electrical problem such as predicting power demand, managing power loads, and enhancing strategic planning. Inderscience Publishers 2021 Article PeerReviewed Saipol, H. F. S. and Mohd. Drus, S. and Othman, M. (2021) A review of big data analytics on customer complaints in the electricity industry. International Journal of Business Continuity and Risk Management, 11 (2-3). pp. 208-223. ISSN 1758-2164 http://dx.doi.org/10.1504/IJBCRM.2021.116280 DOI: 10.1504/IJBCRM.2021.116280
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Saipol, H. F. S.
Mohd. Drus, S.
Othman, M.
A review of big data analytics on customer complaints in the electricity industry
description Fulfilling customer satisfaction gives significant impact to any business including in the electricity industry. The key to achieving customer satisfaction is by providing them the best quality services at fair and reasonable costs. Customer complaints must be managed professionally and appropriately, and be leveraged to improve the quality of services and operational efficiency. In this regard, identifying the root cause of the problems becomes paramount in improving customer service for future improvement. The accumulated customer complaints generate massive data which can be fully utilised by using big data analytics. The purpose of this paper is to determine frequent customer complaint regarding electricity issue and review various methods of big data analytics that have been used to identify valuable insights within the data and to analyse the pattern that can be useful to find solutions to the problem, thus improving the electricity industry services especially in terms of complaint management. On the basis of a study of the different researches, different techniques of machine learning have been used because of its accuracy and in finding a pattern to solve the relevant electrical problem such as predicting power demand, managing power loads, and enhancing strategic planning.
format Article
author Saipol, H. F. S.
Mohd. Drus, S.
Othman, M.
author_facet Saipol, H. F. S.
Mohd. Drus, S.
Othman, M.
author_sort Saipol, H. F. S.
title A review of big data analytics on customer complaints in the electricity industry
title_short A review of big data analytics on customer complaints in the electricity industry
title_full A review of big data analytics on customer complaints in the electricity industry
title_fullStr A review of big data analytics on customer complaints in the electricity industry
title_full_unstemmed A review of big data analytics on customer complaints in the electricity industry
title_sort review of big data analytics on customer complaints in the electricity industry
publisher Inderscience Publishers
publishDate 2021
url http://eprints.utm.my/id/eprint/95739/
http://dx.doi.org/10.1504/IJBCRM.2021.116280
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score 13.211869