Predictive Analytics
Modern data stacks done right — ingestion, modelling, governance, and the dashboards that finally get used. We build the pipelines and the analytics layer your team will actually trust, with documentation, lineage, and tests that catch silent breakages before the CFO does.
Capabilities under this practice
Data Warehousing
Modelled, tested, documented warehouses with version-controlled transformations.
Pipelines & Orchestration
Reliable ETL/ELT with monitoring, retries, and incremental loads.
Predictive Models
Forecasting, churn, LTV, and segmentation models delivered into product surfaces.
Self-Serve Analytics
Semantic layers and dashboards stakeholders actually open every morning.
A clear three-phase rhythm
Map
Inventory sources, surface metric definitions, and prioritise.
- Source map
- Metric dictionary
- Roadmap
Model
Stand up the warehouse, transformations, and quality tests.
- dbt project
- Tested marts
- Lineage graph
Activate
Ship dashboards and push insights into operational tools.
- Dashboards
- Reverse-ETL syncs
- Predictive models
The stack behind the work
What changes after we ship
- End the era of conflicting numbers in different decks.
- Forecast with confidence intervals, not vibes.
- Empower every team to self-serve trustworthy data.
You'll get the most out of this if
- Operators making decisions on stale or conflicting data
- Finance & RevOps teams stitching together exports
- Product teams instrumenting for the first time
Answered before you ask
We have a mess of spreadsheets — where do we start?
Right there. We pick the metric that matters most, build the pipeline behind it, and prove the pattern before going wide.
Do you replace our analysts?
We make them faster — by removing the data-plumbing work that eats their week.
Other practice areas
Let's build
something inevitable.
Tell us what you're building. We reply to every credible brief within one business day with a path forward — and an honest read on whether we're the right fit.