SERVICES
A data warehouse your business can rely on.
We design, build, and optimise data warehouses that are solid at the foundation — and flexible enough to grow with your business.
Your data warehouse is the foundation everything else sits on.
Get it right, and BI becomes easier, data quality improves, and your team spends less time firefighting. Get it wrong, and every new requirement becomes a painful engineering project. We’ve been designing and building data warehouses for over 10 years — across banking, oil & gas, retail, and pharma. We know what good looks like, and we know the shortcuts that cause problems later.
WHAT WE BUILD
Four things we do well.
01
New DWH Design & Build
Built right from the start — no shortcuts.
We design DWH architectures from the ground up — choosing the right modelling approach, layer structure, and technology stack based on your specific data volumes, use cases, and team capabilities. Then we build it, properly.
02
Legacy DWH Modernisation
Move on from what’s holding you back — without stopping the business.
If you have an existing data warehouse that’s become hard to maintain, expensive to extend, or impossible to document — we can help. We assess what you have, identify what’s worth keeping, and build a path to something better.
03
Performance Optimisation
Diagnose and fix the root causes, not the symptoms.
Slow queries, long load windows, and unpredictable performance are signs of a DWH that needs attention. We diagnose the root causes and fix them — whether that’s query optimisation, indexing strategy, partitioning, or architectural changes.
04
DWH Governance & Documentation
A well-governed DWH is one your team can understand, maintain, and extend.
We help you put the right structures in place: data dictionaries, lineage documentation, change management processes, and quality monitoring — so your DWH remains an asset instead of a liability.
HOW WE DESIGN
Pragmatic methodology — not dogma.
We apply the right methodology for your context, not the one we happen to prefer. Inmon for organisations that need a single, integrated source of truth. Kimball for environments where BI performance and user-friendliness are the priority. Data Vault for flexibility, auditability, and the ability to onboard new sources without rework. Often the right answer combines elements of more than one approach — and that’s fine.
STEP 1
Assess
We map what you have, understand your business requirements, and identify the gaps. This gives us — and you — a clear picture of what needs to be built or fixed.
STEP 2
Design
We design the target architecture, agree it with your team, and document it clearly. No surprises when the build starts.
STEP 3
Build & Validate
We build iteratively, validating data quality and business logic at every stage. You can trust what we deliver because we’ve tested it against your actual requirements.
Building, modernising, or fixing a data warehouse?
We’ve done all three — often at the same time. Let’s talk about what you’re dealing with.