We answer questions like
- What is likely to happen next, and where should we focus?
- Which people, sites, or activities are most at risk or in need of attention?
- What is driving the outcomes we are seeing?
- How can we move from reactive to more proactive decision-making?
- How can we use our existing data to better plan for the future?
How it works
We use your historical data to identify patterns, relationships, and drivers of key outcomes. From this, we develop models that forecast future scenarios, highlight risks and opportunities, and explore how different factors influence results.
We apply the most appropriate modelling approach for your context, including statistical, machine learning, econometric, causal inference, or simulation techniques. Outputs are translated into dashboards, reports, or tools that support decision-making, alongside guidance on how predictions should be used in practice.
What this helps you do
Understand what is likely to happen next and where to focus.
Identify key drivers, risks and opportunities within your data.
Target resources and interventions more effectively.
Move from reactive reporting to proactive, forward-looking decisions.
Why us?
Our strength is linking technical modelling with how decisions are actually made. We ensure outputs are understandable, practical, and used appropriately alongside human judgement. We are experts in both predictive techniques as well as causal inference techniques, which makes us particularly well-suited to cases where clients want both an understanding of what might happen next and what changes in the system might produce better outcomes.
“Predictive analytics finds useful content in historical data, helping organisations prepare earlier and better target resources to improve efficiency and outcomes.”
Kenny Bell
Predictive analytics lead, Scarlatti
Looking to move from understanding the past to planning for what’s next?
Get in touch to explore how predictive analytics can support your decisions.
