Use cases

Decisions that carry weight

Carys is built for sectors where the decisions matter and the evidence has to hold up. Below is how teams across financial services, telco, retail and telematics use it.

Financial services

Risk, fraud, collections and lending decisions.

Structured, validated analysis that gives credit and risk teams evidence they can take to a committee.

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Example questions Carys can answer

Which segments are driving the increase in early-stage delinquency?
Where is our collections strategy underperforming relative to last quarter?
What patterns in application data are correlating with fraud in the last 90 days?
Which lending segments have the strongest risk-adjusted return right now?

Telco and MVNO

Churn, ARPU, device financing and retention.

Fast answers to the operational questions that drive retention, revenue and subscriber margin.

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Example questions Carys can answer

Which cohorts are most at risk of churning in the next 60 days?
What is driving the ARPU decline in our post-paid base?
Which device financing offers have the lowest margin and the highest default rate?
Where are our retention interventions working and where are they not?

Retail and operations

Demand, loyalty, campaign performance and optimisation.

Analysis that connects commercial performance to operational decisions, not just dashboards.

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Example questions Carys can answer

Which product categories are showing demand signals ahead of the next promotional period?
What is the actual ROI of our loyalty programme by tier?
Which campaigns are driving new customers versus reactivating lapsed ones?
Where are the biggest gaps between forecast and actual demand this week?

Telematics

Driver risk, fleet abnormality, claims and intervention.

Connecting driver behaviour, fleet costs and claims history to produce validated conclusions about sources of risk and costs.

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Example questions Carys can answer

Which routes and vehicles are driving our fuel cost above benchmark - and what is causing it?
What would a 10% reduction in idle time actually save us across the fleet?
Which drivers are showing behavioural patterns that precede claims?
Where are the fleet abnormalities our current monitoring is not flagging?

Across every sector

The Analyse, Explore, Expand approach works the same way

Problem

What decision is hard today? What question is your team circling but not answering?

Carys view

How Analyse, Explore and Expand applies to your specific question and your specific data.

Trusted output

What gets checked, validated and structured. Evidence you can present and conclusions you can act on.

Book a demo built around your sector

Tell us your question and we will show you Carys handling it with your kind of data.

Book a sector demo