Data Analytics & BI
Transform your raw data into actionable business intelligence dashboards.
A dashboard nobody opens after week two is a common failure mode — usually because it answers a question no one actually asked. We start by sitting with the people who would use it and finding the two or three decisions the dashboard needs to inform, then design backwards from there.
The technical build — ETL pipelines, a proper data warehouse, and PowerBI or Tableau on top — is the easy part once the questions are right. We also make sure the numbers are trustworthy: a dashboard people stop believing is worse than no dashboard at all.
What this looks like in practice
- Stakeholder interviews before a single chart is built
- ETL pipelines that handle the messy, inconsistent source data you actually have
- A data warehouse structured for the questions you ask today and the ones you will ask in a year
- Access controls so sensitive figures reach only the people who should see them
We support both PowerBI and Tableau and will recommend whichever fits your team's existing tooling and skill level, rather than the one we happen to prefer.
How we deliver this
Interview stakeholders
We find the two or three decisions the dashboard needs to inform before building a single chart.
Build the pipeline
ETL pipelines and a data warehouse structured for today's questions and next year's.
Ship a dashboard people trust
PowerBI or Tableau, with access controls so sensitive figures reach only the right people.
Who this is for
- Leadership dashboards for revenue
- growth and operational metrics
- Consolidating scattered spreadsheets into one data warehouse
- Sales or marketing teams needing self-serve reporting
- Businesses that have stopped trusting their own numbers
- Companies choosing between PowerBI and Tableau for their team
Frequently asked
Usually because it answered a question no one actually asked. We start with stakeholder interviews to find the two or three decisions the dashboard needs to inform.
Whichever fits your team's existing tooling and skill level — we support both and recommend based on your situation, not our preference.
Yes — building ETL pipelines that handle real, messy source data is most of the technical work here.
Ready to build with Data Analytics & BI?
Get a custom quote within one business day — senior engineers, transparent scope, no surprises.