Abstract
In this capstone project, we propose a solution to the business problem being facing by one of the satellite companies in UAE, Yahsat. They are providing broadband (internet) services through satellite for wide area in the world including Middle East, Asia and Africa. Specifically, in South Africa, they noticed that they are losing some customers and at the same time the number of customers is not as what was anticipated when they entered the business there. So, increasing the number of customers will increase the revenue, which is the main goal of the company. For Yahsat Company to achieve their business goals, different predictive analytics models were designed and developed in order to come up with a decision scheme that will evaluate each of the areas’ characteristics and give a weight for each characteristic. That will allow to come up with a model/solution that will be able to determine the most profitable areas to focus on each city in that specific country. These areas have been studied along with graphs, figures, and statistical results.
Publication Date
12-2020
Document Type
Master's Project
Student Type
Graduate
Degree Name
Professional Studies (MS)
Department, Program, or Center
Graduate Programs & Research (Dubai)
Advisor
Sanjay Modak
Advisor/Committee Member
Ioannis Karamitsos
Recommended Citation
Alhelo, Hamad Jassem Mohammad, "Customer allocation targeted for broadband services in South Africa using predictive analytics" (2020). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/10729
Campus
RIT Dubai
