WORK
Proof, not promises.
Strategy and implementation from one senior team — across Europe and North America. Every engagement here is real but anonymised — you’ll see the sector and the outcome, never the client’s name.
−0.007%
Net-sales parity across ~$85M/mo migrated
10,000+
SKUs harmonised across a retail catalogue
−20%
Cloud cost on the same workloads
70%
Faster deployment via automated pipelines
20+
M&A data integrations delivered
40%
Lift in trusted-dashboard adoption
Figures are industry-anchored and anonymised · not attributed to any named client
SELECTED ENGAGEMENTS
The challenge, the lever, the outcome.
Challenge
Reporting ran on a legacy warehouse the business had outgrown — slow dashboards, drifting definitions, and new revenue surfaces with no measurable attribution.
What we did
Rebuilt the core platform on a modern warehouse, migrated flagship dashboards behind a governed KPI layer, and shipped one conformed attribution model plus an AI assistant over a semantic layer.
Outcome
Migration completed with headline parity to seven decimal places across ~$85M/mo — every sale line now carries one attribution source.
Challenge
Data engineering inside a regulated, audited environment where every change has to be defensible — not documented after the fact.
What we did
Governed pipelines with lineage, access control, and quality gates by default, wired into the existing compliance process rather than bolted on.
Outcome
Delivery that stands up in an audit by design — the team ships without trading speed for compliance.
Challenge
Leadership flying blind — no self-serve analytics, every number rebuilt by hand for each meeting.
What we did
Built a full reporting product end to end, from source models to a governed leadership dashboard.
Outcome
Leadership self-serves the numbers off one source — decisions in the meeting, not a week later.
Challenge
High-value data locked in silos, with no governed way for teams to find or trust what already existed.
What we did
Stood up a self-serve data marketplace — data-as-a-product with contracts and ratings, plus a GenAI discovery assistant over a governed catalog.
Outcome
Self-serve data products at enterprise scale, discoverable and trusted across the organisation.
HOW WE APPROACH IT
The pattern behind the outcome.
Composite scenarios drawn from patterns across our work — the shape of the problem and the lever, not results from any single client.
A weekly risk report spread across 11 source systems. Ownership-first, not architecture-first — so the CRO acts on Monday’s numbers on Monday.
“Active clients” read anywhere from 340K to 410K across four systems and 23 duplicate entity definitions. One governed figure, in production in about six weeks.
Eight source systems produced three conflicting churn numbers. Clarity then Foundations gave one source of truth — and killed quarterly reconciliation for good.
Forecast accuracy across 13 systems, with a 20% cost reduction and 15% faster delivery — 14 weeks from kickoff to a working MVP.