Story
Google Cloud
CriteoGoogle Cloud at Criteo: Analytics Hosting
Criteo, a communication services organization in France, uses Looker from Google Cloud to support data platform operations for data engineers.
Shared Looker workspaces help Criteo keep data platform operations honest across teams.
“In France, data engineers already knew where analytics hosting went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.”
“Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Productivity | Handoffs in data platform operations sit in a shared queue instead of a mailbox trail |
| Insight | Fewer stalled items because analytics hosting has a clear owner |
| Capability | New joiners can see how data platform operations actually runs |
Story
Criteo did not need another dashboard that nobody opened. It needed data platform operations to move. In France, data engineers already knew where analytics hosting went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
Looker from Google Cloud is now in that path. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. The company treats it as production tooling for data platform operations, which is why data engineers live in it rather than exporting from it once a quarter.
Criteo can show how analytics hosting is handled today. That is the value: a repeatable way to run data platform operations on software the rest of the industry already recognizes.
