
To analyze historical sales data of Star Health and Allied Health Insurance to identify trends and patterns.
To build predictive models using statistical and machine learning techniques to forecast future sales for the company.
To evaluate the accuracy and effectiveness of the predictive models in improving sales forecasting accuracy.
Collect and preprocess historical sales data of Star Health and Allied Health Insurance.
Develop and test different predictive models such as regression, time series analysis, and machine learning algorithms.
Evaluate the performance of the predictive models using metrics such as Mean Absolute Error and Root Mean Squared Error.
Provide recommendations on how Star Health and Allied Health Insurance can use predictive analytics for better sales forecasting.