Case Study: Wind Tre achieves real-time personalized customer service with Looker

Calling on Google Cloud for a data pipeline that supports a more personalized service

Wind Tre, an Italian telecommunications operator serving 30 million customers, needed a way to unify data and improve personalization after merging two major telecom businesses. The company wanted a ready-to-use data pipeline that could manage massive, non-standardized data sources and support real-time decision-making, so it turned to Looker-backed analytics on Google Cloud, including BigQuery, to modernize its data strategy.

Using Looker alongside Google Cloud tools, Wind Tre built a pipeline that processes around 30 billion events per day and consolidates customer, network, and ERP data in one place. The result was faster real-time analytics, better-targeted campaigns, improved churn prediction, and more personalized customer offers, while also helping Wind Tre stay GDPR-compliant and focus its teams on higher-value work.

Wind Tre

Carlo Migliorini

Head of Data Engineering