Data turned into decisions people actually make.
Live dashboards, revenue intelligence, and self-serve analytics — built on data your teams can trust.
Overview
Everyone claims to be data-driven — yet the meeting still opens with an argument about whose number is right.
Reports go stale on export, dashboards multiply faster than anyone can trust them, and the questions that matter sit in a queue.
We build the governed metric model, dashboards, and real-time intelligence that give every team one agreed picture — and the confidence to act on it now.
What we deliver
Executive & operational dashboards
The few numbers each role needs to run their day — not a wall of charts.
Revenue & subscriber intelligence
See new, renewed, churned, and at-risk in one view, and act before it's too late.
Real-time metrics & alerting
Get told the moment something moves, instead of finding out in next month's report.
Self-serve analytics
Let teams answer their own questions without waiting on a data queue.
Semantic layer & metric governance
One governed, version-controlled definition per metric, so every dashboard and tool agrees.
Forecasting & decision intelligence
Move from "what happened" to "what's likely next" with forecasts and what-if scenarios.
How we work
We work backward from the decision — model the metric once, then design the view around the person who acts on it.
Start from the decision
We define the calls each team needs to make, then work backward to the metrics that inform them.
Model the metric
One governed, version-controlled definition per metric in a semantic layer, so every tool agrees.
Design for the reader
Dashboards tuned to the person acting on them — the few numbers that matter, on any device.
Keep it honest
Freshness checks, tests, and alerting so the numbers stay trustworthy long after launch.
Tech we use
A pragmatic, best-of-breed stack — chosen per project, not by default.
BI & Visualization
- Looker Studio
- Power BI
- Tableau
- Metabase
- Apache Superset
Semantic Layer & Metrics
- dbt Semantic Layer
- Cube
- LookML
Warehouse & Query
- BigQuery
- Snowflake
- Databricks SQL
- DuckDB
Transformation & Modeling
- dbt
- SQL
- Python
- pandas
Real-Time Analytics
- Apache Kafka
- ClickHouse
- Materialize
- Apache Druid
Product & Event Analytics
- Firebase Analytics
- GA4
- Amplitude
- Segment
ML & Forecasting
- scikit-learn
- Prophet
- Vertex AI
- Databricks ML
Governance & Quality
- dbt tests
- Great Expectations
- Data contracts
- Row / column access
Results
Case studies powered by Data Analytics.
Industries we apply this in
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