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Cloud data warehouse with modern ELT
A Snowflake, BigQuery, Redshift or Synapse warehouse with dbt-modeled marts for finance, sales and operations.
The challenge
Teams pull data into spreadsheets from each application, metrics are defined differently by every department, and month-end reporting takes days of manual work.
Our approach
We load source data into raw staging with managed connectors, transform it in the warehouse with tested dbt models, and publish subject-area marts that BI tools and reverse ETL can trust.
Architecture
How the pieces fit together. Scroll sideways on small screens.
Key components
- Snowflake, BigQuery, Redshift or Azure Synapse
- Fivetran, Airbyte, Data Factory or Glue for loading
- dbt models with tests and documentation
- Power BI, Tableau or Looker on governed marts
- Airflow or dbt Cloud for scheduling and alerts
What you can expect
- Shared metric definitions across teams
- Reporting refreshed automatically
- Finance numbers that tie out to the ledger
- A foundation ready for machine learning
How we deliver it
Assess
Review current systems, data and goals, and agree success measures.
Design
Target architecture, security model, plan and fixed quote.
Build and test
Agile sprints with demos, automated tests and documentation.
Launch and support
Production rollout, knowledge transfer and optional managed support.
Have a data, AI or finance challenge?
Tell us what you need. Our team will set up a no-cost discovery call.