Data Solutions
Business Intelligence & Dashboards
One version of each number, where people already look
When two reports disagree about the same month, people stop trusting both. We build dashboards on agreed metric definitions and a single modeled source, so every team sees the same number and can trace it back to where it came from.
- Metric definitions
- Semantic data models
- Executive dashboards
- Operational reporting
- Self-service analytics
- Access and row-level security
Why it matters
A dashboard is only as good as the definitions behind it. Agree on what each number means first, and the charts become the easy part.
What this includes
Six parts of the work. Which of them you need depends on where you are starting from, and we agree that before anything is built.
- 01
Metric definitions
One agreed definition per metric, written down and calculated in one place rather than in every report.
- 02
Semantic data models
Clean, documented models that sit between raw data and dashboards, so logic is not repeated.
- 03
Executive dashboards
A focused view of the few measures leadership tracks, with the context to read them correctly.
- 04
Operational reporting
Daily and weekly views for the teams running the business, built around the questions they ask.
- 05
Self-service analytics
Governed datasets that let analysts explore on their own without rebuilding the logic.
- 06
Access and row-level security
Each person sees the data they should, from the same report, without separate copies.
Not sure which of these you need?
Tell us where things stand for you today and we will suggest where to start.
How we deliver it
Four stages, agreed with you before the work starts, with a working result at the end of each rather than one reveal at the end.
Map the questions
We interview the people who use the numbers and list the decisions each report supports.
Define and model
We settle metric definitions and build the data model that calculates them once.
Design the dashboards
Layouts built around the questions, reviewed with users while they are still easy to change.
Roll out and train
We publish, set up access, and train each team on reading and extending their reports.
The stack
Technologies we work with
The tools we reach for most often in this work. We fit in with what you already run rather than asking you to change it.
3 groups
- 01 / 034
BI tools
- Power BI
- Amazon QuickSight
- Tableau
- Looker Studio
- 02 / 034
Data
- Snowflake
- Azure Synapse
- Amazon Redshift
- PostgreSQL
- 03 / 033
Modeling
- SQL
- dbt
- DAX
What you receive
Yours to keep when the engagement ends, whether we carry on working together or not.
A metric glossary
Every metric's definition, owner and source, in one shared document.
A reusable data model
The logic behind the reports, documented and ready for the next dashboard.
Published dashboards
Reports in use by the teams they were built for, with access set up correctly.
Training for each team
Sessions on reading the reports and building new views safely.
Common questions
The ones that come up in almost every first conversation about this work.
Usually the one your organization already licenses. If there is a real choice to make, we compare the options against your data, users and budget before recommending one.
Yes. Often the fastest route is to consolidate the logic behind existing reports into one model and rebuild the most-used ones on top of it.
By calculating each metric once in the shared model and giving it an owner. New reports reuse that logic instead of recreating it.
Let's talk about BI & Dashboards
A short call is usually enough to work out whether we can help and where it makes sense to start. No preparation needed.