B2B SaaS analytics team — domain-first warehouse
70% faster time-to-answer
Domain-first architecture cut time-to-answer for ad-hoc business questions from 2 weeks to 2 days.
Data
Data as a product, not a project.
We build data foundations that survive scale — modelled to your domain, governed by people who own outcomes, integrated with the systems revenue depends on.
Trusted by
HubSpotMarTech
SalesforceCRM
MicrosoftCloud
Google CloudCloud
SlackCollaboration
ShopifyeCommerce
StripePayments
ZendeskCustomer Support
SnowflakeData Cloud
SegmentCustomer Data
AmplitudeProduct Analytics
Where are you with data?
Starting a data practice
Spreadsheets and ad-hoc queries — time for foundations.
Connecting silos
Multiple systems with disconnected truths.
Modernising the warehouse
Existing stack but slow, costly, or trusted by no one.
Embedding analytics into the product
Data needs to power features, not just dashboards.
How we help
Data Architecture
A data foundation built on the entities your business actually has.
Learn moreETL & Integration
Reliable pipelines you can stop worrying about.
Learn moreAnalytics & BI
Dashboards that drive decisions, not debates.
Learn moreRevOps Foundations
A revenue stack where data, process, and tooling reinforce each other.
Learn moreData Quality & Governance
Data people argue about less and act on more.
Learn moreCustomer 360
A unified customer view that powers every team's decisions.
Learn moreHow we work
Domain model first
Before pipelines, we agree the entities, events, and metrics that matter. The model survives tools.
Governance from day one
Ownership, definitions, and SLAs documented before anyone trusts a number.
Pressure-test definitions
Walk every metric definition past the people who will use it. Disagreements get resolved before code, not after deployment.
Build the smallest useful slice
One reliable dashboard beats ten that contradict each other. We ship value early and expand.
Operate and observe
Pipeline health, freshness SLAs, and quality scorecards become operational metrics — not afterthoughts.
Compound across teams
New questions get answered in days; new tools plug into the existing model. The foundation makes every next thing cheaper.
When data is working, you can feel it.
Numbers people stop arguing about.
One defined metric, one owner, one defensible answer. Meetings move from debating definitions to acting on direction.
An hour from question to answer.
New business questions get cleanly answered without a one-off engineering project. The model fits, the pipelines hold, the dashboards earn trust.
Analysts run their own analysis without breaking governance.
Power users build inside guardrails. Self-serve is real, not theoretical, and the official numbers stay official.
Pipelines that don't break on Monday morning.
Schema changes upstream get caught by tests, not by an exec spotting a wrong dashboard at 7am. The data team focuses on insight, not firefighting.
One source of truth, not five competing ones.
Sales, marketing, and finance reference the same warehouse layer. The phrase 'whose data is right' stops being a meeting-opener.
Decisions backed by evidence, not vibes.
Strategic moves get tested against real numbers before commitment. The data infrastructure pays for itself the first time it kills a bad idea.
Selected work
Recent client outcomes in Data.
Mid-market e-commerce — pipeline modernisation
80% fewer pipeline incidents
Migrated 30+ custom Python jobs to Fivetran + dbt. Pipeline-related Slack noise dropped to near-zero.
Series-B SaaS — BI consolidation
12 → 4 source-of-truth dashboards
Consolidated 70+ stale dashboards into 4 trusted ones. Weekly metric review went from 60 minutes of debate to 15 minutes of action.
The signal under the testimonials.
“Time-to-answer for ad-hoc business questions went from two weeks to two days.”
C
Claire Marsden
Head of Data, B2B SaaS
“30 brittle Python jobs gone. The data team focuses on insight again, not babysitting pipelines.”
A
Adrian Quinn
Director of Data Engineering
“We consolidated 70+ stale dashboards down to four trusted ones. Weekly metric review halved.”
R
Rebecca Thornton
VP Analytics
“RevOps alignment lifted forecast accuracy from 78% to 93% over two quarters.”
G
Geoffrey Hayward
Chief Financial Officer
“The metric layer they built ended five years of definitional disputes. One number, one owner.”
C
Caroline Pearce
Head of BI
“Customer 360 finally feels real, not aspirational. Sales, support, and marketing see the same picture.”
P
Patrick O'Sullivan
Chief Operating Officer
“Data quality scorecards in the QBR. Quality became something leadership tracked, not nagged about.”
H
Hannah Vance
Head of Data Operations
“We stopped buying tools. The architecture made the existing stack do more.”
J
Joshua Whitfield
Chief Technology Officer
We build with
- SnowflakeSelect Partner
- dbt LabsPremier Partner
- FivetranCertified Partner
- HexImplementation Partner
- LookerCertified Partner
Frequently asked questions
If your reporting needs span more than one source system, almost always yes. We will tell you honestly if you don't.
Get started
Let's make your data trustworthy.
Show us your dashboards. We'll show you which 80% can be archived and which 20% deserve real investment.
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