Do we need a data warehouse?

Once you have more than two or three sources, or need history, usually yes. Below that, a well-built model directly on the sources can be enough and we will say so.

Who owns the data platform?

You do. It is built in your cloud account, with your credentials, and fully documented.

How do you keep the numbers right?

Automated data quality tests run on every refresh and alert before bad data reaches a dashboard. Key figures are reconciled against finance during the build.

Data and Analytics

Data warehousing

A modern warehouse on Snowflake, BigQuery or Fabric.

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Data and Analytics from · United States

$10k

BI dashboard set

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Warehouse design and build, or modernisation of a legacy one, with a layered model that keeps raw, cleaned and business-ready data separate and documented.

What you get

Architecture design
Warehouse build
Layered data model
Migration from legacy
Cost optimisation

How it fits the rest

Data warehousing is one part of data and analytics. Most clients combine two or three of these, and the packages on the main service page price them together.

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Questions

About data and analytics

Power BI if you are already on Microsoft 365, Tableau if you have complex visual analysis needs or an existing licence. We work in both and will recommend on cost and fit.