Techniques to detect and prevent Frauds: Expert driven fraud detection...
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Rule Generation using Fraud
Analyser & Rule Management
using Rule Engine
01
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.
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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.
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PROCESS MANAGEMENT
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.
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WHY FRAUD ANALYSER?
Fraud Analyser supports remote team coordination with a feature set that is strong on visual characteristics such as
- Drop-down functionality to select different modelling techniques
- Data manipulation functionality to remove or encode specific variables
- Dashboards to track progress of data scientist activity and model development
- Model comparator views
- Periodic customer reports
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.
// Our Blogs
FRAUD PREVENTION & DETECTION PROCESSES
Rule Engine Implementation
Predominately, there are two kinds of solutions in the market...
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Rule Generation with Fraud Analyser
As mentioned in previous article, if we want to make...
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Introduction To Frauds
Fraud Definition: An organization loses typical 5% of revenue due to...
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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.
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Software Programming
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// Cilent Testimonials
We are Trusted
We are Trusted
Companies Worldwide
Mark, Director, DNPric.es
London, United Kingdom
“Infigos’s team worked with us for the last 12 months and the fraud detection solutions were up and running within 4 months time with both modules implemented with complete functionality. We managed to spot 25% more misclaimed sales using
Shailaja Ravishankar
Director Strategy and Analytics at Ally FinancialGreater Seattle Area
Fraud in Auto Finance Case Study: This client’s testomonial is available on request for this case study.
LinkedIn: https://www.linkedin.com/in/shailaja-ravishankar-3a840119/
LinkedIn: https://www.linkedin.com/in/shailaja-ravishankar-3a840119/
Mahlaku Seloane
Manager at Absa GroupJohannesburg Area, South Africa
Fraud or Loss in Credit Cards Case Study: This client’s testomonial is available on request for this case study.
LinkedIn: https://www.linkedin.com/in/mahlaku-seloane-193110b1/
LinkedIn: https://www.linkedin.com/in/mahlaku-seloane-193110b1/
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