Discover
Interviews, a look at how the work really happens, and a short prototype of the riskiest idea. You get scope, budget and a roadmap in writing.
1–3 weeksService 13 / 14
Data & Analytics Solutions
Dashboards and data pipelines that answer the questions you actually ask.
How we work
Most businesses already have the data to make better decisions — it is just scattered across systems and spreadsheets. We bring it together, clean it up and turn it into dashboards people trust.
We start with your questions: Which customers are most profitable? Where do orders stall? What will next month look like? Those questions decide which data we collect and how we model it.
We then build pipelines that pull data from your operational systems into a central warehouse on a schedule, with tests that flag missing or suspicious numbers before they reach a dashboard.
Finally we design dashboards and automated reports for each audience — leadership, operations, finance — with definitions everyone agrees on, so meetings are about decisions instead of whose number is right.
What’s included
Deliverables, not deliverabullets.
Every engagement is scoped to your needs. These are the pieces we deliver most often.
- Data audit and KPI definitions
- Data warehouse setup and modeling
- Automated ETL/ELT pipelines
- Executive and operational dashboards
- Scheduled reports and alerts
- Data quality tests and documentation
Process
How a data & analytics solutions project runs.
Design
Paper sketches, wireframes and clickable prototypes tested with real users, then a visual design system developers can build from.
2–4 weeksBuild
Two-week sprints with a working demo at the end of each one. You see progress in the software, not in a slide deck.
6–14 weeksLaunch & evolve
A careful release, training for your team, monitoring from day one — then a support plan that keeps the software improving.
OngoingFAQ
Data & Analytics Solutions questions.
We only use spreadsheets. Is this for us?
Yes. Many projects begin by automating the spreadsheets you already maintain, then moving them onto a proper data foundation.
Which dashboard tool should we use?
It depends on your team and budget. Looker Studio and Metabase are excellent, low-cost starting points; we also work with Power BI and Tableau.
How fresh will the data be?
Most dashboards refresh hourly or daily. Where it matters, we build near real-time pipelines.
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