01 — Overview
Every company collects data; few can answer basic questions with it quickly and confidently. The gap is rarely more dashboards — it's trustworthy pipelines, modelled data, and metrics with agreed definitions.
We build data foundations that make reporting boring, in the best way: numbers that match across tools, dashboards that load, and a clear path from raw events to the models and metrics your decisions depend on.
02 — What we deliver
Scoped, priced, and owned by you.
Data pipelines
Reliable ingestion and transformation from your products, tools, and third-party sources.
Warehouse & modelling
A well-modelled warehouse with agreed metric definitions — one version of the truth.
Dashboards & reporting
Purpose-built views for leadership, operations, and product — not chart soup.
Product analytics
Event tracking designed around the questions you need answered, instrumented cleanly.
ML & forecasting
Prediction, scoring, and classification models where they genuinely earn their keep.
Data for AI
Preparing your data layer so agents and LLM features can be grounded in it safely.
03 — How we approach it
Data, the BitHive way.
Start from questions
We list the decisions the data must support, then work backwards to the pipeline.
Model before visualising
Metrics get defined once, centrally — dashboards become a thin layer on top.
Keep it maintained
Tests and freshness checks so data quality problems surface as alerts, not surprises.
Tools we reach for
- PostgreSQL
- BigQuery
- dbt
- Airflow
- Python
- Metabase
- Grafana
- scikit-learn
Start a project
Need data done right?
Tell us where you are and where you're trying to get. We'll reply within 24 hours.