GRAPHT - Where detail meets statistics

Statistical analysis gives a quick and easy way to consume insights into data. It’s often used for finding trends in data and can also be used to identify a starting point for an investigation.

While network analysis, gives an easy way to map the structure of the data. It’s often used for identifying who’s linked to whom, and through what.

“This means the SIU or intelligence teams can see both the shape of the fraud ring, and the behaviour of its participants.”

Combining the best bits

By combining the best bits from dashboards and network visualisations, we’ve given the analyst the ability to explore and analyse freely and intuitively.

As the analyst explores each new presented network, the software is giving clear indication of behavioural similarity, examples include:

All claims in this network happen on Wednesdays
The same three claim types recur
Average claim values are within a narrow band.

This means the SIU or intelligence teams can see both the shape of the fraud ring (network), and the behaviour of its participants (data patterns). They can then form strong, defensible conclusions much faster.

GRAPHT

GRAPHT allows intelligence teams to conduct complex network visual analysis at scale (supporting 100 times more data than legacy network visualisation products)¹, allowing these fraudulent networks to come to the forefront in 3D visuals with analytical features that simply aren’t available anywhere else.

It’s estimated that undetected fraud costs a large UK insurer between 100 - 120 million a year.²

Can your organisation afford to not use GRAPHT?

Estimated from 10,000 items being usably visualised on a modern PC using legacy network visualisation software. With GRAPHT usably visualising 1,,000,000 items on the same machine through the browser.

Detected insurance fraud in the UK was estimated at £1.1 billion in 2022 (ABI). Studies suggest a similar amount of fraud goes undetected each year, implying total UK fraud of roughly £2.2 billion. Large insurers with 10% of the UK market would therefore face a total fraud exposure of £220 million annually, of which approximately half (£100–120 million) is detected, with a similar amount (£100–120 million) estimated to be undetected.