Enterprise Miner for the performance evaluation of the propensity models using actual campaign results
Product propensity models are developed to identify the customers or observations those have high likelihood of responding to any cross-sell campaign or any event of interest. Model d evelopment which includes has multiple steps requires extensive efforts. 1. Identification of business objective or business problem. 2. Identifying analytical objective 3. Identifying data scope and time window. 4. Data preparation and exploration 5. Data treatment and variable reduction 6. Model training and validation 7. Model selection and interpretation 8. Business approval Steps to automate the model scoring for its periodical usage. 9. Model deployment 10. Periodical Model Scoring Once the models are scored and used in the campaign for targeting customers to cross sell the product of interest, effectiveness of model must be measured. I am going to discuss the different ways to evaluate the model's robustness. This should not be