Techniques to detect and prevent Frauds: Expert driven fraud detection...Read More
Our Products & Offerings
Rule Generation using Fraud
Analyser & Rule Management
using Rule Engine
RULE GENERATION USING FRAUD ANALYSER
The machine learning layer connects the rule-detection and relevant modelling functions. It starts by generating the rules-based framework from the initial training dataset by using most relevant machine learning algorithms.
RULES MANAGEMENT USING RULE ENGINE
Rules can be used within the context of detecting insurance fraud for (a) claim submissions or (b) policy applications. In cases that require immediate decisions integration of the rule engine with a front-end application is required.
Our team of data scientists, modellers, team leaders and product developers, has deep expertise in development of ‘R’ and Python-based applications such as modelling automation tools and different kind of modelling.
WHY FRAUD ANALYSER?
Fraud Analyser supports remote team coordination with a feature set that is strong on visual characteristics such as
But that’s not all. To differentiate the solution from industry standards such as IBM ODM and FICO Blaze Advisor, Fraud Analyser comes with a dedicated data support team, so that product adoption is swift and easy.The platform is not sticky and enables easy exporting of work when done periodically.
Detect fraud and provision for it. Reduce false positives. Improve your bottom line.
Fraud Analyser is a SaaS product with an in-house data science support team bundled in. Priced on an annual subscription basis, it delivers a highly customisable solution that is user-friendly, effective and competitively priced.
We are Trusted
Mark, Director, DNPric.esLondon, United Kingdom
Shailaja RavishankarDirector Strategy and Analytics at Ally Financial
Greater Seattle Area
Mahlaku SeloaneManager at Absa Group
Johannesburg Area, South Africa
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