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Analytics is not a dashboard nobody opens. It is the shared definition of what your business counts as true.

Analytics

Turn scattered product and operational data into one set of numbers your teams act on without arguing about them first.

10+ Projects Delivered

Warehouse-Native Modelling

Why It Matters

Most teams do not lack data. They lack agreement on what it means, and every new source makes that disagreement more expensive to settle.

The Numbers Disagree

Finance, product, and marketing each report revenue their own way, and the meeting stops being about the decision.

Data Arrives Scattered

Events, exports, and third-party tools land in separate places, so a simple question turns into a week of manual joins.

Dashboards Go Stale

A report built for one launch keeps rendering long after the metric behind it stopped being maintained.

Instinct Fills The Gap

When a number is slow to arrive, the call gets made without it, and the analysis becomes an explanation after the fact.

Tracking Breaks Quietly

A renamed button drops an event, and nobody notices until the funnel already has a month-long hole in it.

What We Offer

Analytics that follows the data from the moment it is captured: instrumentation that holds, a warehouse that models it once, and reporting the business reads without a translator.

The short list of metrics that actually move decisions, defined precisely enough that two teams calculating them separately arrive at the same answer.

KPI Trees
Definitions
Governance

A tracking plan tied to the product and implemented in code rather than bolted on through a tag editor, with checks so a release cannot silently break the funnel.

GA4
Tag Manager
Tracking Plans

Sources loaded once and modelled into tables analysts can trust, with tests that fail loudly when something upstream changes shape.

BigQuery
Snowflake
Modelling

Reporting built for the person reading it, with filters that answer the obvious follow-up question instead of prompting a request for another chart.

Looker
Metabase
Superset

Activation, retention, and drop-off measured on real cohorts, so a change in the product can be traced to a change in behaviour.

Mixpanel
PostHog
Cohorts

Live views of the metrics worth watching during the day, with alerting set at the thresholds that justify interrupting someone.

Grafana
ClickHouse
Alerting

Freshness, lineage, and access control that make a number defensible — where it came from, when it last updated, and who is allowed to see it.

Lineage
Testing
Access Control

The First Step Is Always Knowing What The First Step Is

We begin with the decisions you are trying to make, then work backwards to the metrics that inform them and the data needed to produce those metrics honestly. From there, analytics becomes a clear sequence of definitions, pipelines, models, and reporting people use.

Decision Mapping

Metric Definition

Tracking Design

Data Modelling

Reporting Build

Continuous Validation

How Can We Help You

Industry Use Cases

Assistant usage analytics
Who asks what, how often, and what happens next.
Answer quality dashboards
Grounding, helpfulness, and refusal rates tracked per topic.
Adoption and deflection metrics
How much work the assistant absorbs, and where people still go to a colleague.
- Attribute spend
- Count resolutions
- Trend weekly
Cost per resolution
Model spend divided by resolved conversations, trended over time.