Abstract
Satellite telecommunications have undergone significant evolution, driven by the need for enhanced quality assurance and service improvement. This paper provides a comprehensive review of the initiatives undertaken in this field, focusing on the integration of analytics to achieve these objectives. Over the years, advancements in satellite technology have enabled the collection of vast amounts of data, presenting both challenges and opportunities. Leveraging analytics has emerged as a crucial strategy to extract actionable insights from this data, thereby enhancing quality assurance and service delivery. The review encompasses various aspects of quality assurance and service improvement in satellite telecommunications, including network performance monitoring, fault detection and resolution, capacity planning, and customer experience management. It examines how analytics techniques such as machine learning, predictive modeling, and anomaly detection have been applied to address specific challenges within each of these domains. Furthermore, the paper evaluates the impacts of these initiatives on the satellite telecommunications industry. By leveraging analytics, stakeholders have been able to optimize network operations, minimize downtime, and proactively address potential issues before they escalate. Additionally, improved service quality has led to enhanced customer satisfaction and retention, driving business growth and competitiveness in the market. Overall, this review underscores the transformative role of analytics in advancing quality assurance and service improvement in satellite telecommunications. It highlights the importance of continued innovation and investment in analytics-driven solutions to meet the evolving demands of the industry and deliver superior experiences to end-users.
 Keywords: Assurance, Analytics, Satellite, Telecommunication, Impacts, Review.
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