Data analytics & BI services · EonTech

From raw data to
decisions you can trust.

We build the metrics layer, self-serve BI, and dashboards that put one governed version of every number in front of your team. Trustworthy by design, owned by you — not locked inside a vendor's tool.

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  • Governed metrics layer
  • Senior teams · your time zone
  • GDPR · ISO 27001
One metric layer
A single, governed definition of every number that matters
Self-serve
Teams answer their own questions without a ticket queue
Your IP
Models, dashboards, and definitions stay yours

What we build

The analytics layer that sits on your data

Pipelines move the data; this is the layer that turns it into answers. From a governed metric to a dashboard a director steers by, the insight surface is the work, not an afterthought.

  • Semantic metrics layer

    One governed definition for revenue, churn, margin, and the rest — so every dashboard, report, and query agrees on what a number means.

  • Self-serve BI

    Dashboards and exploration tools your teams can drive themselves. We model the data so the right cut is a click, not a data-team ticket.

  • Executive dashboards

    The handful of numbers leadership actually steers by, current and trustworthy, with the path from headline figure back to source kept intact.

  • Decision support

    Cohort, funnel, and retention analysis wired to the questions your operators ask — built to inform a call, not to decorate a slide.

  • Embedded analytics

    Charts and metrics surfaced inside your own product, so customers see their data where they work, on the same governed definitions.

  • Data quality & trust

    Freshness checks, tests, and lineage so a number is either right or visibly flagged. Analytics nobody trusts is analytics nobody uses.

The metrics layer

Define a number once, agree on it everywhere

Most analytics distrust traces back to the same root: "active user" means three different things across three reports. A semantic metrics layer fixes that by defining each number once, in versioned, reviewed logic.

Every dashboard, query, and embedded view reads from that one definition. When the rule changes, it changes in one place — and the board pack agrees with the operational dashboard.

See our data engineering practice

How we deliver

From the decisions back to the data

We work backwards from the calls your teams make. The metrics that drive those decisions set the scope, and governance ships with the analytics — not as a later clean-up project.

  1. 01

    Find the decisions

    We start from the calls your teams need to make and the questions they ask weekly. The metrics that drive those decisions become the scope.

  2. 02

    Model the metrics layer

    We turn raw, engineered data into governed, reusable metric definitions — the single source of truth every dashboard and query reads from.

  3. 03

    Build the surfaces

    Dashboards, self-serve exploration, and embedded views, designed for the people who use them. We test that the answer is one click away.

  4. 04

    Govern and hand over

    Quality tests, lineage, and access rules go live with the analytics. Your team is trained to own and extend it, because it is yours.

Why EonTech

Analytics your team will actually trust

  • Insight, not plumbing

    We focus on the metrics and decisions; we connect cleanly to your pipelines, or build them via our data engineering practice.

  • Numbers people trust

    Governed definitions, tests, and lineage mean a figure on a dashboard is the same one in the board pack.

  • Senior only

    Analytics engineers who understand both the SQL and the business question — the people who scope it build it.

  • You own it

    The metrics layer, dashboards, and models are yours to run, audit, and extend, on infrastructure you control.

Common questions

What data teams ask first

  • How is this different from data engineering?

    Data engineering moves and shapes raw data into reliable tables — the plumbing. Analytics and BI is the insight layer on top: the governed metrics, dashboards, and decision support your teams actually read. We do both, and you can engage either independently.

  • Do we have to replace our current BI tool?

    No. We work with the warehouse and BI tools you already run where they fit. The value is in a governed metrics layer and well-modelled data underneath, which makes whatever tool you use more trustworthy rather than forcing a migration.

  • How do you keep sensitive data safe in dashboards?

    Access is controlled at row and column level and tied to identity, with GDPR data-protection rules applied by design. Delivery runs to ISO 27001 standards, and every figure is traceable back to its source for audit.

Make every number mean one thing

Tell us the decisions your team struggles to make and the reports they no longer trust. We will scope a governed metrics layer and the dashboards on top, with a fixed first milestone.

Start your project See data engineering