Building a Predictive Analytics Model

The VP of enterprise transformation at a global insurance giant was building a predictive pricing model to better forecast supply and demand for its buyback program. What data and triggers could help the team make more accurate predictions and, in turn, create smarter pricing and underwriting strategies? BTG’s data scientist held a PhD in computer engineering and had previously served as Chief Data Scientist at Accenture. After working with executives to understand price determinants and predictability gaps, he built and refined a machine learning algorithm that the client’s team used to build an enterprise predictive tool. 

Value: A powerful tool for using data to create smarter pricing and underwriting strategies 

 

About the Author

Summer Foote is BTG’s Communications and Design Specialist. A graphic designer and content creator with a background in magazine editing, Summer has worked with many businesses on brand development and marketing projects.

More Content by Summer Foote
Previous Article
Implementing AI: A Q&A with Teresa Escrig
Implementing AI: A Q&A with Teresa Escrig

Done right, AI can deliver significant business value. Done wrong, it undermines brands and destroy stakeho...

Next Article
6 Ways to Develop Effective Performance Metrics
6 Ways to Develop Effective Performance Metrics

Measuring performance is an essential part of management, but there are some right ways and wrong ways to t...