Title page for E-project-121407-111650

Project Type MQP

Submission date 2007-12-14

Authors
Fernando Miguel Olloqui, MAC
Daniel Ossa, MAC
Esteban Ramiro Paez, MAC

URN E-project-121407-111650

Sponsor Towers Perrin

Title Price and Revenue Optimization

Advisor
Abraham, Jon P, MA

Availability unrestricted

Abstract
This project applies mathematical techniques to design a process by which an insurance company can optimize revenue. The main objective is to categorize client portfolios using K-means algorithm to segment the market. After clusters are obtained, a logistic regression is applied to determine the optimal premium increase/decrease that maximizes the revenue for each cluster, based its specific characteristics. Applying the optimal premium change to each customer subgroup, the firm will increase its overall revenue.

Files
JPA0702.pdf

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Project Type	MQP
Submission date	2007-12-14
Authors	Fernando Miguel Olloqui, MAC Daniel Ossa, MAC Esteban Ramiro Paez, MAC
URN	E-project-121407-111650
Sponsor	Towers Perrin
Title	Price and Revenue Optimization
Advisor	Abraham, Jon P, MA
Availability	unrestricted
Abstract This project applies mathematical techniques to design a process by which an insurance company can optimize revenue. The main objective is to categorize client portfolios using K-means algorithm to segment the market. After clusters are obtained, a logistic regression is applied to determine the optimal premium increase/decrease that maximizes the revenue for each cluster, based its specific characteristics. Applying the optimal premium change to each customer subgroup, the firm will increase its overall revenue.
Files	JPA0702.pdf