Data Science & Predictive Analytics
From descriptive to predictive: forecasting models for cash, demand, and pipeline — built on your real data, validated honestly, and delivered with the assumptions written down.
Free audit first. No deck — just the plan.
The scope
- Data readiness assessment
- Forecasting model development
- Validation + accuracy reporting
- Scenario analysis
- Model documentation
- Refresh cadence option
The process
Define the KPIs
The five to ten numbers that actually run the business — agreed, defined, and owned. Not forty vanity metrics.
Dashboards that get used
Live dashboards designed around the decisions you actually make. One link, always current.
Reporting on a cadence
A weekly digest hits your inbox with the deltas and the why — not a spreadsheet you have to interrogate.
Anomaly flags
Agents watch the metrics and alert you when something breaks trend — before it becomes a month-end surprise.
Project engagement
This is a scoped engagement: defined deliverables, milestone billing, and a finish line. You own everything we build.
The Analytics system
Know your numbers without asking for the report. Every data science & predictive analytics engagement runs on this operating system — see the full problem, approach, and deliverables.
Explore the system