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BI & Analytics · High Digital

BI & Analytics, so dashboards drive real decisions.

There's no single BI tool that fits every kind of reporting. Power BI, Highcharts and Databricks AI/BI each earn their place for a different reason — and we pick whichever one actually gets the right data in front of the right person, in a shape they'll use.

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How we choose

Same senior team, whichever BI tool fits.

BI & Analytics work isn't one thing, and treating it like one is how projects end up with a dashboard nobody uses. The right tool depends on who's reading the report, how often, and whether it needs to live inside a product or stand alone.

What doesn't change is who's building it. Every one of these platforms is used in-house by the same senior engineering team — a report is only ever as good as the data pipeline underneath it, and we build both.

The right tool, not the familiar one

An embedded product dashboard and a monthly board report are different problems — we pick Highcharts, Power BI or Databricks AI/BI accordingly, not out of habit.

A real pipeline underneath, not just a pretty chart

A dashboard is only as trustworthy as the data feeding it, so we build the pipeline and the report as one piece of work, not two.

Built for the person reading it

An executive scanning a KPI once a week needs something different to an analyst querying live data — we design for the actual reader, not a generic dashboard.

From descriptive to predictive

Databricks AI/BI means a report doesn't have to stop at what happened — it can also forecast what's likely to happen next.

Not sure which BI tool fits? Ask the engineer who'd build it.

Book a 30-minute working session with a senior engineer — a real conversation about your reporting, not a sales call.

Technologies

The stack we ship on.

Pragmatic, mostly boring, and chosen because it works in production — not because it's on the front page of Hacker News.

Let’s talk

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.