It consists of the following steps -
Establish business objective of a predictive model
Pull Historical Data - Internal and External
Select Observation and Performance Window
Create newly derived variables
Split Data into Training, Validation and Test Samples
Clean Data - Treatment of Missing Values and Outliers
Variable Reduction / Selection
Variable Transformation
Develop Model
Validate Model
Check Model Performance
Deploy Model
Monitor Model
