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Demos
Fraud: Detection & Avoidance of Opioid Fraud
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Fraud: Detection & Avoidance of Opioid Fraud
Tags:
Fraud Detection
Life Sciences & Health Care
Graph Technology
Summary:
Learn how to predict and prevent fraud in the event of opioid abuse.
Fraud Segmentation
Care Plan Flagging
Relationship Graphing
Geographic & Time Series
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Demo
C360 for Retail
Graph Analytics
Churn Avoidance, Upsell, Cross Sell
Loyalty, Clickstream Demographics
Focused Campaign Management
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Finance Toolkit
Market Overview tab walkthrough
Company Overview tab walkthrough
Demo
Financial Services: Fighting AML and Trade Fraud
Process improvement
Provide alerts
Case management
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Related Content
Lightning Talk
Graph For Supply Chain
Data modeling
Distribution networks
Resource planning
Process optimization
Demo
Customer 360: Cross-Selling & Up-selling
Product Marketing
Customer View
Churn Intervention
Segmentation & KPI
Online Seminar
Fighting Financial Crimes with Graph Analytics- A Deep Dive
How graph and machine learning combine
How does current technology address anti-fraud with graph?
Blog
Synchronizing RBAC to TigerGraph using Confluent/Kafka
Learn how Confluent and TigerGraph can help your organization model and use RBAC within a graph to speed up query times over typical relational database models.
CASE Study
Predictive Analytics for Kinsa Health
Can you predict and plan for the flu?
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