Teng, Wai Leong (2024) Interactive Dashboard to Analyze Customers in a Telco Company: Customer Churn Classification. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.
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Abstract
The project's main objective is to address theongoing issue of customer churn in the telecommunications industry. This challengeholds significant implications, including decreased revenue and diminished customer loyalty. By leveraging advanced data analytics, machinelearning and web application development, the project presents a comprehensivesolution. Its purpose is to equip Telco companies with powerful tools for proactively reducing churn rates and improving customer retention. The scopeof this endeavor encompasses the design and development of a multifunctional Telco Customer Churn web application that includes activities such as data collection and preprocessing, machine learning model training, interactive data visualization and secure web application deployment. The wide- ranging scope of this project covers various functional areas within Telco organizations. It offers benefits to both data analytics teams who are responsiblefor churn prediction and customer serviceteams dedicated to improving user experience. Methodologically, the project combines techniques from data analytics along with machine learning models such as Random Forest and KNN . Additionally, it involves Flask web application development, AWS cloud deployment, and Power BI data visualization to createa comprehensive solution. As a result of this project's efforts comes a robust Telco Customer Churn web application that empowers Telco companies to make informed decisions whilereducing churn and enhancing servicequality. With its data-driven approach, user- friendly interface, and secure cloud deployment, this project stands out. Ongoing maintenance effectively addresses any weaknesses. Ultimately, it plays a pivotal rolein solving the customer churn challengefaced by the Telco industry. As a result, it contributes to revenuegrowth and heightened customer satisfaction.
Item Type: | Final Year Project |
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Subjects: | Technology > Telecommunication Science > Computer Science > Data mining. Big data Technology > Technology (General) > Information technology. Information systems |
Faculties: | Faculty of Computing and Information Technology > Bachelor of Computer Science (Honours) in Data Science |
Depositing User: | Library Staff |
Date Deposited: | 12 Aug 2024 08:07 |
Last Modified: | 12 Aug 2024 08:07 |
URI: | https://eprints.tarc.edu.my/id/eprint/29729 |