  One of the service providers in the financial service sector, who provide
premium service to the customers, wanted to harness the power of data analytics
as data mining can uncover valuable insights for better decision making.
Therefore, the author aimed to use predictive analytics to discover crucial
factors that will affect the customers' showing up for their appointment and
booking the service. The first model predicts whether a customer will show up
for the meeting, while the second model indicates whether a customer will book
a premium service. Both models produce accurate results with more than a 75%
accuracy rate, thus providing a more robust model for implementation than gut
feeling and intuition. Finally, this paper offers a framework for resource
planning using the predicted demand.
