Case Study: General Mills achieves scalable analytics and supply chain digitization with Looker

A Google Cloud Platform Case Study

Preview of the General Mills Case Study

General Mills: Transforming food using data, analytics, and AI

General Mills, the food company behind more than 100 brands, needed to modernize its aging on-premise data and analytics environment to support faster, deeper analytics at scale. The company wanted a more scalable, resilient foundation for data management and governance, and it used Looker as part of its broader cloud analytics stack alongside Google Cloud tools to improve visibility and decision-making.

Looker helped General Mills strengthen its analytics capabilities as part of a cloud transformation centered on BigQuery, Vertex AI, and API-based infrastructure. The result was a more unified, data-driven operating model that supported supply chain digitization and financial insight, while General Mills completed a planned 36-month data lake migration in just 21 months and moved 85% of HQ-based hosted applications to the cloud.


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General Mills

Jaime Montemayor

Chief Digital and Technology Officer


Google Cloud Platform

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