ENHANCING CUSTOMER SERVICE IN SATELLITE TELECOMMUNICATIONS: A REVIEW OF DATA-DRIVEN INSIGHTS AND METHODOLOGIES FOR PERSONALIZED SERVICE OFFERINGS

Authors

  • Nneka Adaobi Ochuba Independent Researcher, UK
  • Enyinaya Stefano Okafor Independent Researcher, Phoenix Arizona, USA
  • Olatunji Akinrinola Independent Researcher, New York, USA
  • Olukunle Oladipupo Amoo Department of Cybersecurity, University of Nebraska, USA
  • Favour Oluwadamilare Usman Hult International Business School, USA

DOI:

https://doi.org/10.51594/ijmer.v6i3.846

Abstract

Enhancing customer service in satellite telecommunications is a critical focus area for companies seeking to differentiate themselves in a competitive market. This Review reviews data-driven insights and methodologies aimed at delivering personalized service offerings to satellite telecommunications customers. Personalized service offerings leverage data analytics to tailor services to individual customer needs and preferences. By analyzing customer data, such as usage patterns, service history, and feedback, satellite telecommunications companies can gain valuable insights into customer behavior and preferences. These insights enable companies to offer customized services that meet the specific needs of each customer. Data-driven insights play a crucial role in enhancing customer service in satellite telecommunications. By analyzing customer data, companies can identify trends and patterns that help them understand customer needs and preferences better. This understanding enables companies to develop personalized service offerings that resonate with customers and drive customer satisfaction and loyalty. Methodologies for delivering personalized service offerings in satellite telecommunications include predictive analytics, machine learning, and artificial intelligence. Predictive analytics enables companies to forecast customer behavior and anticipate future needs, allowing them to proactively address customer needs. Machine learning algorithms can analyze large volumes of customer data to identify patterns and trends that would be difficult for humans to detect. Artificial intelligence can enhance customer service by enabling companies to automate processes and provide personalized recommendations to customers. In conclusion, enhancing customer service in satellite telecommunications requires a data-driven approach that leverages insights and methodologies to deliver personalized service offerings. By analyzing customer data and using advanced analytics and AI technologies, satellite telecommunications companies can tailor services to individual customer needs and preferences, driving customer satisfaction and loyalty.

Keywords: Customer Service, Satellite, Telecommunications, Data-driven, Service Offerings.

Published

2024-03-07

Issue

Section

Articles