Looker specialists for your dedicated team.

Where Looker fits in a long-term product team.

The modelling layer is the whole point. In most BI tools every dashboard carries its own logic, so two reports disagree and it is unclear which is right. In Looker the definition lives in one reviewed place, and a change flows through consistently.

That discipline is also the cost. LookML has to be maintained by someone comfortable with code review, and an organisation that wants analysts dragging fields around without governance will find it heavier than the alternatives. It suits organisations that have already been burned by conflicting numbers.

What your dedicated team does with Looker.

A modelling layer is only worth its overhead if it is maintained with review discipline. LookML edited by whoever is nearest, without review, recreates the sprawl it was adopted to prevent, in a more expensive tool.

The model and the warehouse beneath it are one problem, so they belong to one team through a dedicated data engineering team.

Common Looker use cases.

• Ending the metric argument One reviewed definition of each measure, so meetings stop being about whose number is correct.
• Self-service with guardrails Business users exploring within a model that prevents nonsensical joins.
• Maintaining an inherited LookML project A model that has grown unowned brought back to a state someone can safely change.

Adding Looker skills to your team.

Analytics engineering sits with a managed data team, since the model and the warehouse beneath it go together. Every assigned specialist comes through the Talent Success and Academy programme first.

Looker specialists join your team remotely as dedicated, full-time team members, selected, employed and managed by us in Chiang Mai and Bangkok. Companies that hire offshore developers through Azendo add the skill at the next monthly cycle.