Build centralized data infrastructure that consolidates metrics from every tool and enables cross-system analysis.
A data warehouse is a centralized database that stores all your company's data—product analytics, CRM records, ad spend, billing events, support tickets—in one place. It lets you run queries that span multiple systems without dealing with API limits or data silos.
The core components are: ETL pipelines that pull data from sources (Fivetran, Airbyte, custom scripts), a warehouse database (Snowflake, BigQuery, Redshift), a transformation layer (dbt) that cleans and models the data, and a BI tool (Looker, Tableau, Mode) for visualization.
Most companies start with a warehouse too late—after they've already built fragile dashboards on top of production databases or Google Sheets. We implement warehouses early (once you have 3+ data sources) so you can scale analytics without accumulating technical debt.
We build custom solutions tailored to your specific technical requirements and business constraints.
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