Data Warehousing & Modeling
A well modelled warehouse that becomes the single source of truth for every dashboard, report and analyst in the business.
What Our Data Warehousing & Modeling Service Covers
Warehouse design that stays usable as your data volume and your team both grow. We build star and snowflake schemas following Kimball dimensional methodology, implemented on BigQuery, Snowflake or PostgreSQL and transformed through dbt so every model is tested and documented in one place. Lineage is mapped from source column to reported figure, access is granted by role, and slowly changing dimensions are handled deliberately rather than discovered later. What you end up with is the single source of truth your dashboards and your analysts can both point at without argument.
What's Included
Every engagement is scoped in writing, but these are the deliverables you can expect as standard.
Dimensional model
Star and snowflake schemas designed with Kimball methodology around the way your business actually works.
Warehouse build
Implementation on BigQuery, Snowflake, PostgreSQL or Databricks, sized for your volumes and budget.
Tested transformations
dbt models with tests on keys, relationships and business rules, run on every change.
History handling
Slowly changing dimensions designed deliberately so historical reports stay accurate.
Access and governance
Role based permissions, sensitive data handling and lineage from source column to reported figure.
Data catalogue
Searchable documentation of every table and field so analysts can find what they need.
Built for Teams Like Yours
If any of these sound familiar, this service is a good place to start.
- Businesses with data scattered across many systems
- Teams whose dashboards disagree with each other
- Organisations planning a move to a cloud warehouse
- Analysts spending more time finding data than using it
From Brief to Delivery
- 01
Assess and plan
We review your sources, reporting needs and constraints, then recommend a platform and model.
- 02
Design the model
You approve the dimensional design, with business definitions agreed for each fact and dimension.
- 03
Build and load
The warehouse is built in layers, tested at each stage and reconciled against source systems.
- 04
Document and enable
Your team receives the catalogue, lineage and training to build on the warehouse confidently.
Data Warehousing & Modeling FAQs
Which warehouse platform should we choose?
It depends on your cloud, volumes, skills and budget. We compare the options honestly, including staying on PostgreSQL if that is enough.
Can you migrate our existing warehouse?
Yes. We plan migrations so reports keep running throughout, with parallel validation before the old system is retired.
How do you keep costs under control?
Through sensible partitioning, incremental models, scheduled compute and cost monitoring from day one.
