Case Study: MoneySupermarket achieves faster analytics and ML deployment with Looker

MoneySuperMarket Helping customers find the right price with Google Cloud

MoneySupermarket, the UK price comparison group, was struggling with a legacy analytics platform that limited scalability, slowed development, and created bottlenecks for data access and machine learning. The company needed a more flexible approach to handle growing data volumes and support faster, more relevant customer communications, and turned to Looker to help modernize its analytics capabilities.

Looker helped MoneySupermarket build a scalable, cloud-based analytics platform that unified data and streamlined ML workflows. The new solution cut ML pipeline deployment from 11 hours to 5 minutes, enabled daily model updates instead of weekly, and made the data team more self-service and independent.

MoneySupermarket

Harvinder Atwal

Head of Data Strategy and Advanced Analytics