DataDesk
Business Intelligence Platform
DataDesk is a business intelligence platform designed for the majority of an organisation: the people who read reports rather than write them.
Designed & developed by Entrovix
- Year
- 2025
- Discipline
- DataVisualisationEngineering
- Services
- Data VisualisationUX/UI DesignFront-end Engineering
- Built with
- ReactTypeScriptNode.jsClickHouse
The Challenge
Built for authors, read by everyone else
Business intelligence tools are designed for the small group who build dashboards and used by the much larger group who only read them. The readers get an interface full of controls for a job they will never do.
The brief was a reading experience first, with authoring available but never in the way.
The Approach
How we worked
Every chart states its question
Titles are written as the question the chart answers, so a reader never has to reverse-engineer intent from axis labels.
Freshness is part of the number
Each figure carries when its data last moved. A number without a timestamp is a number nobody can safely act on.
Chart type follows the comparison
Form was chosen by the comparison being made rather than by variety, which meant refusing chart types that looked impressive and read poorly.
Authoring on demand
Editing controls appear when they are asked for. The default view is a document, not a workbench.
The Solution
A report that reads like a document
Dashboards open as something to read: a headline answer, the chart supporting it, and a plain statement of how current the data is.
Filtering and authoring stay available to anybody who wants them, but out of the default view, so the common case stays uncluttered.
Inside the product
What it actually does
Every Screen
One product, whatever it is opened on
The phone layout is not the desktop one squeezed down. Density, hit areas and reading order are decided per screen, and the interface keeps its meaning at both ends.
Capability
What we brought to DataDesk
The same services are available on their own — each one links to what it involves, how it runs and what you get.
Built with
- React
- TypeScript
- Node.js
- ClickHouse
Disciplines
Data · Visualisation · Engineering
The Outcome
What it settled
- Charts titled with the question they answer
- Every figure carries its own freshness
- Chart form chosen by comparison, not by variety
- Reading is the default; authoring is opt-in
That was some of our work
Now let’s talk about yours.
Tell us what you’re building. You’ll get a written plan, a clear proposal, and a team that shows its work every week.