Eric Chaniot, Chief Digital Officer & Senior Vice President of Michelin, is leading the group’s digital transformation with one goal—to turn Michelin into “a leader in the digital world and specialist in mobility and related services. ” In a recent ...
To maximize the healthcare value it generates, the Sir Mortimer B. Davis Jewish General Hospital investigated the appropriateness of performing hospital enterprise optimization by using a linear programming based analytics model to make decisions about patient inflow into its Emergency ...

As trusted analytics partner providing end-to-end capabilities, we start with an idea, help turn that idea into action, and then scale it. We value experimentation and learning, and apply human psychology and empathy, enabling us to deliver pragmatic innovation.

With a data strategy that encompasses transactional as well as contextual data, and advanced analytics capabilities that overcome human limitations on curating and understanding data, CGI helps clients realize their full potential. The result is just-in-time analytics to support real-time business decisions.

We work closely with clients locally, while bringing the strength of global insights and capabilities.

Driving more value from data

LocalTapiola, a large Finnish insurer, wanted to gain a better understanding of its customers by analyzing a vast store of available data. Using advanced analytics, machine learning and artificial intelligence, CGI evaluated 350,000 customer relationships, revealing customer segments that warranted special attention and supporting the development of specific outreach actions for each segment. The company is now better able to anticipate the actions of hundreds of thousands of customers and identify new target groups for marketing, as well as deliver a more personalized experience for individual customers.

Read more from CGI Insights to Action Report Insurance section

Envision a new way of becoming insight- and idea-driven

Analytics critical information map Analytics Idea Exploration Analytics sprint

 

Analytics advanced technology Analytics production & scale
Working together to identify the information that is critical to the business and ensuring its quality Workshop using the critical information and additional “big data” sources to identify real business value through specific use cases and applications Taking one of the prioritized use cases and using data and advanced analytics to prove the value Continuous development and  innovation by assessing new data sources and using advanced analytics Building a future-proof data analytics platform that is secure, scalable and enables innovation