Predictive Analytics
Forecasting and behavioral models that pay back — built on the data you already have.
- Timeline
- 10–14 weeks
- Engagement
- Senior, embedded
- Pricing
- Outcome-based
- Discipline
- AI & Machine Learning Solutions
⏚ Summary
What this engagement is, plainly.
We build predictive analytics that answer specific business questions: demand forecasting, churn, lifetime value, anomaly detection. The model is the easy part; the data pipeline and the deployment loop are where the value lives.
Problems we solve
You have years of operational data and no production model leveraging it.
Past forecasting attempts produced impressive backtests and underwhelming live performance.
Your data scientists ship to notebooks; nothing reaches the product surface.
⏚ Approach
How we run this engagement.
- 01Phase
Question-first scoping
We start from a business question with a measurable outcome. 'Reduce churn by 8%' beats 'build a churn model' — and the framing shapes everything that follows.
- 02Phase
Production-grade pipeline
Feature engineering, training pipeline, model registry, and a deployment path before we tune accuracy. The model becomes infrastructure, not a one-off.
- 03Phase
Iterate on live data
Every model has a monitoring dashboard, drift detection, and a quarterly review. Predictions decay; we plan for it.
⏚ Deliverables
What you get, signed off.
Business-aligned model specification
Feature pipeline + reproducible training
Online + batch serving
Drift detection + monitoring dashboard
Model card with limitations + retraining playbook
⏚ Stack we typically use
Tools, not religion.
We pick on workload and team shape, not on fashion. Anything below is a default — swappable when your context demands.
- Python
- scikit-learn
- XGBoost
- PyTorch
- MLflow
- dbt
- Feast
Outcome
A model running in production against a defined business outcome, with the pipeline and monitoring to keep it honest as data drifts.
⏚ Frequently Asked
About this service, specifically.
⏚ Related Services
Often paired with this engagement.
⏚ Engagement Initiation
Have a hard problem worth doing once, well?
We take a small number of engagements per quarter. If your program needs serious operators, we'd like to hear about it.