Data products built to be used, not just glanced at once a month.
Most data visualisation services hand you a pretty dashboard and disappear. We build self service analytics your team actually opens every week — custom dashboard development that starts with the decision it's meant to drive, with a first working view live in as little as 2 weeks.
The problems that bring
teams to us to build a data product.
If any of these sound familiar, another chart isn't the fix — a proper data product is. Here's how we approach it.
A dashboard nobody opens after week one
It looked great in the demo. Three months later, nobody quite remembers it exists.
Every report shows a slightly different number
Sales says one thing, finance says another, and both dashboards insist they're the correct one.
"Self-service" that only IT can actually use
The tool promised self-service analytics. In practice, every new question still means a support ticket.
Predictive models that never leave the notebook
The forecast worked in the analysis. Nobody built the pipeline to make it live and useful.
Built to be used,
not just launched.
Most data visualisation services stop at a working chart. Ours starts with the decision the chart is meant to drive, and is built to still be open on someone's screen six months from now, not forgotten after the first demo.
A data product earns a place in someone's routine.
Most dashboards are a one-off delivery — built, demoed, forgotten. Ours are built as products: owned, maintained, and designed around a real decision, so people keep coming back to them long after the project officially "finished."
Built around the decision, not the dataset
We start with what the dashboard needs to make someone decide, and build backwards from there — not the other way round.
Self-service that's actually usable
Your team can slice and explore the data themselves without filing a ticket every time a new question comes up.
Governed data behind every number
Every figure traces back to a documented, trusted source — no more "which dashboard is right" arguments in a meeting.
AI-accelerated, senior-led build
AI-assisted tooling speeds up the plumbing so senior engineers focus on the metrics that actually matter to the business.
A working method, not a deck of phases.
Discover
We get into the detail. Stakeholders, constraints, data, and the real problem you're trying to solve.
Strategise
We sketch the smallest version that proves the outcome. A clear plan, a tight scope, no fluff.
Build
Cross-functional pods of engineers, designers, and data folk. Working software every week.
Scale
We harden it, instrument it, and stick around. Roadmaps, reviews, and a team that knows your stack.
Not sure if you need a dashboard or a full data product? Ask the engineer who’d build it.
Book a 30-minute working session with a senior data engineer — a real conversation about your metrics, not a sales call.
Built with clients
who measure outcomes.
A 12-tab spreadsheet, rebuilt as a risk platform
Offshore cable burial risk assessment taken out of a straining Excel workbook and rebuilt as a Python engine and React application on Microsoft Azure — a hundred thousand rows of AIS vessel data, Carbon Trust anchor-strike methodology, and depth-of-lowering curves for every soil zone on a route.
Frasers Aerospace — Operations Control Tower
An operations dashboard for an AS9120B aerospace supplier, built in Microsoft Lists and Power BI — orders from Sage 200 and WooCommerce in one place, the spreadsheets they used to be raised in retired, the exceptions blocking them surfaced first, and a TV wallboard for the warehouse floor.
“A good data product earns a place in someone's daily routine. If people stop opening it after the first week, we didn't build the right thing — no amount of polish fixes that.”
Sectors we've built data products for.
Every sector runs on decisions someone has to make from data — we've built the products that support them across all of these.
The new site finally reflects who we are as a company. High Digital made the entire process simple and collaborative.
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Data products and dashboards,
built on real engineering.
Data engineering
We design and build the data infrastructure that powers intelligent decision-making — from ingestion to insight.
Learn moreData products
Standalone data products your team can actually use.
Learn more 02Data solutions
Bespoke solutions to your most complex data challenges.
Learn more 03BI & analytics
Dashboards and reporting tools that turn raw data into clear decisions.
Learn more 04Machine learning & MLOps
Predictive models and ML pipelines designed for production.
Learn more 05Data consultancy
Strategic advice on how to structure, govern, and get more value from your data.
Learn moreQuestions, answered straight.
Have an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.