Graphen Ardi - Use Case 2

User 2, Data Scientist

Mary, Data Scientist

Task: "I’m conducting research on fraud detection for insurance claims."

The application will be used by people like Mary, a Data Scientist at an insurance company.

Mary is the data scientist at Esurance, working within the Fraud Detection and Analytics department.

Mary’s primary objective is to detect potential fraud activities for insurance claims using machine learning and graph analytics. She performs routine, analytical reviews of data and documentations which may include customer data for fraud activities. She is tasked with making decisions on disputed transactions and suspect activity flagged for investigative review.

Data

Leverage data on:

Claim application

Claim results

Policy information

Beneficiary information

Applicant information

Insurant information, etc.

Mary can explore the relationship among parties and build models.

Functionality and Strategy

Ardi platform allows users like Mary to analyze and visualize relationship graphs based on claims and policies, therefore make predictions for potential fraud using machine learning platforms.

Users are able to:

Concatenate and manage daily updated policy and claim event data

Explore data and have a better insight using graph database quickly

Process and generate features for machine learning modeling

Build and obtain the best machine learning models for fraud detection

Automate and monitor the fraud activities after the implementation of analysis and modeling using up-to-date data over time

Edit and export genomic analysis reports

Conclusion

Ardi platform will help data scientists in the insurance industry quickly visualize the relationships between multiple parties and properties, utilizing machine learning modeling for fraud detection.

Alice Security

Insider Threat Monitoring and Detection

Fraud Detection

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