[ Tech stack ]
Looker
Google Cloud's enterprise BI platform, governed by a version-controlled LookML semantic layer.
Looker is Google Cloud's enterprise BI platform, not to be confused with Looker Studio: metrics and joins are defined once in LookML, a modeling language versioned in Git, and queries run live against the warehouse (BigQuery, Snowflake, Redshift, Postgres) with no extracts. Explores, dashboards, alerts, the API and the Embed SDK all sit on that single model, with row-level security driven by user attributes. It's our choice when a company needs one governed source of truth for its KPIs and analytics embedded in its own products.
[ Why Looker at Dexon ]
What this technology does well, and why we use it.
Typical usage: Company-wide governed KPIs, embedded SaaS analytics, reporting on BigQuery.
- 01
LookML: metrics and joins defined once and version-controlled in Git.
- 02
Live queries against BigQuery, Snowflake or Redshift, with no data extracts.
- 03
Embed SDK and API: analytics embedded in your products and customer portals.
- 04
Row-level security, scheduled alerts and Gemini for conversational analytics.
[ Complementary technologies ]
The building blocks we often mobilise alongside.
A stack rarely exists alone. Here are the technologies Dexon most often pairs with this one, through pipeline habits, usage similarity or internal mastery. Click on a building block to see its scope.
[ Reassurance ]
- 0+
- custom projects delivered
- 30
- engineers, designers, project managers
- 80 %
- from top French schools
- 24 h
- average reply time
[ They trust us ]
More than 100 French and European companies trust us
[ Press ]
They talk about us.
Nationwide coverage by BFM Business, Le Figaro, Challenges, La Tribune and CNews. An outside reading of our work and our innovations.
