Turn your business data into decisions you trust

It is the work of getting data out of the systems that create it, cleaning and modelling it, and loading it where people can use it for reporting, planning and AI. It covers the pipelines, the data models, the quality checks and the monitoring that keep the numbers right every day.

It depends on your data and your team. BigQuery, Snowflake, Redshift and Azure Synapse suit large or fast growing data, while PostgreSQL is often enough for a smaller business. We recommend one after an assessment, not before.

Databases such as MySQL, PostgreSQL and SQL Server, SaaS tools such as HubSpot, Salesforce, Shopify and Google Analytics, REST APIs, spreadsheets and files. If a system holds data, we can usually extract it.

Yes. We review your current reports and spreadsheets, decide what to rebuild, merge or retire, and move them step by step, keeping your reports running during the change.

Every pipeline checks for missing records, duplicates, broken references and totals that must reconcile with the source. A failed check raises an alert before anyone sees a wrong number, and each run is logged, so any figure can be traced back to where it came from.

Yes. Because we build websites and apps too, we can add event tracking where it is needed and send it straight into your warehouse, so product and marketing numbers sit next to sales and finance.