Generali France's modelling speed became 5x faster with Akur8
Location:
Goal
Accelerate time to market and increase predictive power, with full transparency and control
Module used
Results
5x increase in modeling speed
Feedback
”Akur8’s value very quickly came to light. Modeling speed is 5x faster, while keeping a thoroughly transparent and auditable process. The user-friendliness of the interface and the collaborative aspect of it are a great asset for the team, making it very easy-to-use, while enhancing internal communication. The responsiveness of the Akur8 team also was instrumental in our very fast learning curve.”
Eyrich Samba, Actuarial Studies Manager at Generali France
Drive business value by bringing your end-to-end pricing process to the next level
Akur8 is the only technology on the market that automates the generation of production-ready GAM/GLMs. Thanks to its unique proprietary algorithms, it delivers tremendous business value by unlocking untapped combined ratio improvement.
Other use cases
“Akur8 is a best-in-class pricing solution. The results we observed during the pilot phase are speaking for themselves, with dramatic reduction in modeling time and more predictive power of the models. This will both accelerate our time-to-market and improve our pricing accuracy, bringing substantial value to our partners and the end-customer, in a time that requires ever more reactivity and transparency.”
"We found insightful interactions after one day of modeling with Akur8’s insurance pricing solution. Leveraging this user-friendly and transparent platform will enable our pricing team to build better models faster across more lines of business."
“Akur8 offers a game changing approach to ratemaking compared to manual solutions, that we were eager to adopt. The benefits in terms of speed and performance are major, while the process is robust and safe. The collaborative and intuitive interface, the smart features as well as the reactive and proficient support were also greatly appreciated by our pricing teams.”
