The insight layer: turning historical data into forecasts, scores and decisions that have actually been validated, not just ones that look plausible.
Once the data is flowing reliably, the next question is what it tells you about what happens next. Advanced Analytics & Predictive Modeling covers the statistical and machine-learning work that turns historical data into forecasts, risk scores and recommendations your business can act on, plus the rigour to know when a model's predictions can actually be trusted and when they can't.
Statistical & Machine Learning Models
We build models that answer specific business questions: demand forecasting, churn prediction, credit and risk scoring, pricing optimisation, choosing the simplest technique that gets the job done reliably. A well-validated regression often beats an opaque deep model when the goal is a decision someone has to trust and explain to their boss.
Forecasting & Scenario Planning
We build forecasting models for demand, revenue, capacity and inventory, then wrap them in scenario tools that let planning teams stress-test assumptions, what happens if demand jumps 20%, or a supplier slips a month, without rebuilding the model from scratch every time someone asks a new question.
Business Intelligence & Dashboards
Models and forecasts only create value once the people making decisions can actually see them. We build BI dashboards on tools like Power BI, Looker and Tableau that surface the metrics that matter to each audience, operational views for daily decisions, executive views for the monthly review, connected directly to the data platform so they update on their own.
Experimentation & A/B Testing
We design and analyse experiments, A/B tests, holdout groups, causal analysis, so that 'did this change actually work?' gets a statistically sound answer, rather than a before-and-after chart that might just be seasonality in disguise.
- Predictive modelling (demand, churn, risk, pricing)
- Forecasting & scenario planning
- BI dashboards (Power BI, Looker, Tableau)
- A/B testing & experimentation design
- Model validation & explainability
A guide to building forecasting models and BI dashboards that decision-makers actually trust and use.