Data Services
Setting up a data warehouse
A working data warehouse in weeks instead of a multi-year programme.
What it involves
Setting up a data warehouse
We set up a data warehouse using a proven approach: first the sources with the most value, then a layered model with raw, cleansed and business-ready data, with reporting straight on top. You see results within weeks and the warehouse grows with your organisation.
- Cloud-native on Azure, Fabric, Snowflake or Databricks
- Layered architecture: raw, cleansed, business-ready
- Automated loading processes with history
- Built-in data quality checks
- Predictable cost and scalability
- Operations and improvement optional
Approach
How we approach this
01
Scope
Choose first sources and use cases.
02
Foundation
Platform, layers and loading processes.
03
Value
First reports go live.
04
Expand
Add new domains.
Outcome
What it delivers
First results within weeks
One source of truth
A foundation that scales
Want to talk through your data question?
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