论文标题
预约预订的预测分析
Predictive analytics for appointment bookings
论文作者
论文摘要
为客户提供高级服务的金融服务部门服务提供商之一，希望利用数据分析的力量，因为数据挖掘可以发现有价值的见解，以实现更好的决策。因此，作者的目的是使用预测分析来发现关键因素，这些因素将影响客户的约会和预订服务。第一个模型预测客户是否会出现在会议上，而第二个模型则指示客户是否会预订高级服务。两种模型都以超过75％的精度率产生准确的结果，从而为实施提供了比直觉和直觉更强大的模型。最后，本文使用预测的需求提供了用于资源计划的框架。
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.
