Using Advanced Analytics to Predict Vehicle Registrations and Help in Business Continuity Planning
Dramatic changes happen in the world. People and organizations face problems with these changes. The ones who have everything planned in case of emergencies; survive, and the ones who do not plan it right, have a chance of falling. Today, a lot of organizations suffer because of the Covid-19 global pandemic, even the largest organizations in Dubai like Roads and Transport Authority. Roads and Transport Authority (RTA) is one of the largest government entities and the sole planner and executer of all transport, road, and traffic projects in Dubai. It has happiness centers which register all the cars that are in Dubai. Those centers capacity is reduced because of this disease which led to making the long queues for customers. Customer’s satisfaction is one the main priorities of these centers. Not having this problem solved; will increase the number of unsatisfied customers. In this capstone project, I propose to explore the data of the registered cars then predict the upcoming customers. By predicting customers, we will solve all the problems that the organization is facing in this pandemic and plan for future dramatic scenarios.
Professional Studies (MS)
Department, Program, or Center
Graduate Programs & Research (Dubai)
AlZarouni, Khalid Ibrahim, "Using Advanced Analytics to Predict Vehicle Registrations and Help in Business Continuity Planning" (2021). Thesis. Rochester Institute of Technology. Accessed from