UK based insurance firm requires to predict insurance attributes on the basis of historical data. Data interrogation on the basis of factors like GDP, Inflation Rate, Unemployment, and House Price Index.
Measuring effects and relationship of factors based on the variables:
Premium Rates
Sales
Volume of Surrenders
In this, we have trained three regression models to predict the next three month of policy sales policy sum, and volume of surrender.
We have taken policy holder demographics and the macroeconomics factors into consideration
In this we have analyzed the impact duration of the factors, i.e., how long it will take to impact on the attributes when one of the factor gets changed
On the basis of these regression models, we have also prepared charts from which we can interrogate data queries
