Khan, Nusratullah and Shah, Asadullah and Khan, Shoab Ahmad and Anjum, Ali Raza (2018) Proactive business intelligence to give best customer experience to valued social networks in telecoms. In: Lecture Notes in Networks and Systems. Springer, pp. 678-686. ISBN 978-3-319-56993-2
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Abstract
To compete, cellular network operators must be very responsive to their customer needs. One effective approach that could make a business more productive is anticipatory decisions while considering customer’s problem. Communication Service Providers must have greater insights into their own Call Details Record data in order to gauge and tune up the company’s performance. CSPs must promptly react to ever changing competitive environment by providing quick and personalized services. However, reacting quickly to changing customer expectations is not a simple task. In this paper, a method has been proposed in order to tackle this challenging problem. Proposed solution is using CDR data as the primary data source to detect valued social networks and monitored the QOS provided to the identified valued social network. Calls of valued customers will be prioritized by inserting priority tag in MSC. The final step of proposed technique deduces a proactive approach in order to retain the high revenue generating customers.
Item Type: | Book Chapter |
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Additional Information: | 6566/72866 |
Uncontrolled Keywords: | Quality of Service (QOS), Call Detail Record (CDR), Communication Service Providers (CSPs), Mobile Switching Centre (MSC) |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System |
Depositing User: | Faizah Shahbudin |
Date Deposited: | 09 Jan 2021 16:17 |
Last Modified: | 09 Jan 2021 16:17 |
URI: | http://irep.iium.edu.my/id/eprint/72866 |
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