Data Analytics Consulting
We design dashboards, reporting infrastructure, and the metric definitions underneath them. From warehouse modeling to the executive view, so every team reads the same numbers.
Learn moreFridayAnalytics builds the analytics, models, and machine-learning systems organizations rely on to make decisions. We consult on data strategy, ship production data science, and advise on AI adoption for the wider data community.

Services
Engagements scale from a focused two-week diagnostic to a long-term embedded analytics partnership.
We design dashboards, reporting infrastructure, and the metric definitions underneath them. From warehouse modeling to the executive view, so every team reads the same numbers.
Learn morePredictive modeling for forecasting, segmentation, churn, pricing, and optimization. We validate honestly out-of-sample and ship models that survive contact with production.
Learn moreWe apply AI and LLM-driven analysis to unstructured data, surfacing patterns and recommendations in hours rather than weeks — with the reasoning traceable back to the source.
Learn moreOngoing insight generation and strategic guidance grounded in our own published research. A retained analytics partner for teams without an in-house data function.
Learn moreHow we work
Every engagement runs through the same four stages. No discovery theatre, no six-month roadmap before the first insight.
We map the questions that matter, audit the data that exists, and agree on what a good answer looks like.
Exploratory analysis and metric definition, so decisions rest on numbers everyone can reproduce.
Forecasts, models, pipelines, and dashboards — built for the stack you already run.
Handover with documentation, then ongoing advisory as the data and the business change.
Tell us the question. We'll tell you honestly whether analytics, modeling, or AI is the right instrument — and what it would take.
One email when we publish something new. No sales sequences.
For research collaborations, mention the paper or topic you're working on.