Case Study: MAPFRE (Spanish insurer) achieves 20% faster time-to-value with DataRobot AI Platform

MAPFRE Accelerates Time to Business Value by 20% with AI Spanish insurance company finds value faster from pricing premiums to underwriting

MAPFRE, the largest Spanish‑owned insurer operating in more than 100 countries, needed to speed time‑to‑market for analytics so its teams could rapidly tackle pricing, sales, churn, underwriting, fraud and other business challenges. To accelerate experimentation and productionization, MAPFRE ESPAÑA adopted DataRobot and the DataRobot AI Platform, leveraging AutoML and MLOps to scale analytics across the organization.

DataRobot automated model development and deployment—integrating via APIs with AWS, Microsoft Azure and SageMaker, linking to MAPFRE’s data lake with an Athena driver, and exporting models to Tableau and Power BI—while DataRobot Customer‑Facing Data Scientists helped apply value‑driven use cases. The result: MAPFRE generates multiple prototypes 20% faster, produced 20 models to power personalized premiums, sped retraining for changing conditions, simplified compliance documentation, and increased the analytics team’s capacity to deliver business value.

MAPFRE

Diego J. Bodas

Director of Advanced Analytics