Service 08 / Data & analytics
Pipelines, warehousing and reporting built on a single agreed definition of each metric, so your teams stop arguing about whose dashboard is right.
What’s included
01
Data pipelinesIngestion from your products, tools and third parties.
02
Warehouse modellingFacts, dimensions and a semantic layer that holds up.
03
Metric definitionsOne agreed formula per metric, version controlled.
04
DashboardsReporting built for the decision, not the data.
05
Data qualityTests, freshness checks and alerts on the pipeline.
06
Self-serve accessTooling so analysts stop queuing behind engineering.
What you get
01
Working warehouse
Modelled, tested and documented.
02
Metric layer
Definitions in code, reviewed like any other change.
03
Dashboard set
The reports your leadership actually opens.
04
Quality monitors
Alerts before a stakeholder spots the gap.
Stack
dbtAirflowSnowflakeBigQueryPostgreSQLMetabasePower BIPython
How we run it
We start from the decisions you need to make and work backwards to the data, which usually means building far fewer dashboards than requested. Metric definitions live in code so a change is reviewable.