Infigos Software Solutions Ltd

Infigos Software Solutions Ltd An Irish niche software solutions company

Predicting The Fraud - Score Card DevelopmentFor fraud management applications, we are looking to predict fraud score (p...
28/05/2026

Predicting The Fraud - Score Card Development

For fraud management applications, we are looking to predict fraud score (probability of fraud). So that we can process credit card and insurance applications and claims. We define one-year observation window and 6 months to one-year performance window. Fraud are marked as 1, no fraud is marked as 0 based on past investigation of customers.
Read More at: https://www.infigos-solutions.com/score-card-development/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232

Rule Generation Process Using Fraud Analyser (People and Process Management)To keep the things simple, it’s good to invo...
26/05/2026

Rule Generation Process Using Fraud Analyser (People and Process Management)

To keep the things simple, it’s good to involve the people to manage the process. Process is managed by team based in Europe and India. There are two kinds of processes
1. Rule generation process managed by data scientist
2. Rule management process managed by rule engine expert
Read More at: https://www.infigos-solutions.com/people-and-process-management/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232

Fraud Definition: An organization loses typical 5% of revenue due to fraud each year. As per Oxford dictionary, fraud is...
21/05/2026

Fraud Definition: An organization loses typical 5% of revenue due to fraud each year. As per Oxford dictionary, fraud is defined as wrongful or criminal deception intended to result in financial or personal gain. The most common characteristics of frauds are being uncommon, impeccably concealed, time evolving and carefully organized.

Read More at: https://www.infigos-solutions.com/introduction-to-frauds/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232

Challenges of Building Fraud Detection and Prevention SystemsTechniques to detect and prevent Frauds: Expert driven frau...
14/05/2026

Challenges of Building Fraud Detection and Prevention Systems

Techniques to detect and prevent Frauds: Expert driven fraud detection and prevention technique represents a good starting point and complementary to other approach used. Alternatively, used techniques should be accurate, operationally efficient and cost efficient. All these qualities can be observed in statistically used credit score card or customer churn model. These solutions are data-based and an application of supervised learning.
Read More at: https://www.infigos-solutions.com/challenges-of-building-fraud-detection-and-prevention-systems/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232

Cycle of Fraud Detection SystemFraud detection refers to applying the fraud model on new observations. Fraud investigat...
13/05/2026

Cycle of Fraud Detection System

Fraud detection refers to applying the fraud model on new observations. Fraud investigation is carried out on the cases flagged fraud by the fraud detection system. Once fraud is confirmed then we check the accuracy of fraud model used.

Read more at: https://www.infigos-solutions.com/challenges-of-building-fraud-detection-and-prevention-systems/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232

TECHNIQUES TO DETECT AND PREVENT FRAUDSExpert driven fraud detection and prevention technique represents a good starting...
07/05/2026

TECHNIQUES TO DETECT AND PREVENT FRAUDS

Expert driven fraud detection and prevention technique represents a good starting point and complementary to other approach used. Alternatively, used techniques should be accurate, operationally efficient and cost efficient. All these qualities can be observed in statistically used credit score card or customer churn model.

Read more at: https://www.infigos-solutions.com/challenges-of-building-fraud-detection-and-prevention-systems/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232

Introduction to FraudsFraud Definition: An organization loses typical 5% of revenue due to fraud each year. As per Oxfor...
05/05/2026

Introduction to Frauds

Fraud Definition: An organization loses typical 5% of revenue due to fraud each year. As per Oxford dictionary, fraud is defined as wrongful or criminal deception intended to result in financial or personal gain. The most common characteristics of frauds are being uncommon, impeccably concealed, time evolving and carefully organized.

Read More at: https://www.infigos-solutions.com/introduction-to-frauds/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232

WHY FRAUD ANALYSER?Fraud Analyser supports remote team coordination with a feature set that is strong on visual characte...
30/04/2026

WHY FRAUD ANALYSER?

Fraud Analyser supports remote team coordination with a feature set that is strong on visual characteristics such as,
1) Drop-down functionality to select different modelling techniques
2) Data manipulation functionality to remove or encode specific variables
3) Dashboards to track progress of data scientist activity and model development
4) Model comparator views
5) 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.

Explore Usecases: https://www.infigos-solutions.com/case-studies/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232

Address

Harcourt Centre, Block 4, Harcourt Road
Dublin
D02HW77

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