Services
Data & Analytics
We build the data infrastructure and dashboards that turn scattered information into decisions your team can actually act on.
A lot of teams have plenty of data and still can't answer basic questions quickly, because it's scattered across systems that were never designed to talk to each other. We build the pipelines and dashboards that fix that — starting from the decisions you're actually trying to make, not just "more reporting."
That could mean a data warehouse that finally gives you one source of truth, real-time dashboards for operational decisions, or a pipeline that automates a report your team currently builds by hand every week.
What you get
- Built around your actual decisions — not just "more reporting"
- One source of truth — a properly modeled warehouse, no more spreadsheet-stitching
- Real-time where it's needed — live views for decisions that can't wait on a batch job
- Validated against real data — pipelines and dashboards tested throughout, not just at the end
What's included
How we help with Data & Analytics
Each of these can stand alone as a project, or combine into a larger initiative.
Data Engineering & Pipelines
Reliable pipelines that move and transform data from your existing systems into a usable, trustworthy form.
BI Dashboards
Dashboards built around the actual decisions your team needs to make, not a generic template.
Real-Time Analytics
Live data views for operational decisions that can't wait for a nightly batch job.
Data Warehouse Design
A properly modeled central data store that ends the spreadsheet-stitching and conflicting numbers between teams.
How we work
Our approach
The same steps whether it's a single feature or a larger program.
Discover
Understand the decisions you need data to support, and audit what data already exists.
Design
Model the data warehouse or pipeline architecture around those actual questions.
Build
Implement pipelines and dashboards, validated against real data throughout.
Refine
Iterate based on what the team actually uses once it's live.
Technologies we work with
Proof it works
Related case studies
Commonly used in
FAQ
Common questions
We have data in a lot of different tools — is that a problem?+
That's the normal starting point, not a blocker — part of discovery is mapping what exists across your tools before designing how it should flow together.
Do we need a data team already in place?+
No — we work with teams at every stage, including those with no dedicated data function yet.
Real-time or batch reporting — which do we need?+
It depends on the decision the data supports. Not everything needs to be real-time, and we'll recommend the simpler batch approach when it genuinely serves you better, rather than defaulting to the more complex option.
How do you handle data security and access control?+
Access controls and data governance are scoped as part of the architecture from the start, based on your specific compliance and sensitivity requirements.
Drowning in data but short on answers?
Tell us about the decisions you're trying to make, and we'll help you figure out what data infrastructure would actually support them.