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What is NetMap?

Reveal the hidden connections and relationships among claimants, providers, and businesses to aid in identifying systemic insurance fraud. The advanced analytics provided by NetMap significantly enhance the Special Investigations Unit's ability to discover fraudulent networks within their claims. This software quickly analyzes claim information, public records, and other relevant data to reveal trends indicative of fraudulent activities. Equipped with powerful analytics and visualization capabilities, SIU analysts can rapidly pinpoint intricate patterns of deceit. By transforming what typically takes weeks of investigation into mere hours, NetMap not only boosts the efficiency of organized claims fraud investigations but also speeds up the transition from detection to referral, leading to a more effective strategy for tackling fraud. Furthermore, employing these analytical tools results in better-informed decision-making and contributes to improved outcomes across the insurance sector, fostering a more secure environment for all stakeholders involved.

What is Fraud Barrier?

To reduce the incidence of bad debts and the related costs of collection and recovery efforts, it is vital to avoid granting risk segments to applicants who provide false information on their applications. Keeping losses from serious fraud and write-offs stemming from fraudulent applicants to a minimum is essential. Moreover, it is important to ensure that the processes for detecting fraud do not compromise customer service or delay decision-making. This entails closely examining suspicious cases, analyzing the outcomes of application assessments, and making well-informed decisions. By automating fraud detection and investigation processes, organizations can significantly boost their operational efficiency. Ensuring that interfaces are user-friendly is crucial for maintaining low resource demands and minimizing operational expenses. Furthermore, the system should be designed to automatically assign cases for deeper investigation and generate a fraud likelihood score to prioritize subsequent actions. Adopting these strategies will ultimately enhance the effectiveness of fraud management, leading to improved financial stability. By fostering a proactive approach, businesses can better safeguard their operations against fraudulent activities.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Verisk Analytics

Date Founded

1971

Company Location

United States

Company Website

www.verisk.com/insurance/products/netmap-analytics/

Company Facts

Organization Name

Scorto

Date Founded

2001

Company Location

United States

Company Website

www.scorto.com

Categories and Features

Fraud Detection

Check Fraud Monitoring
Custom Fraud Parameters
For Insurance Industry
Internal Fraud Monitoring
Investigator Notes

Categories and Features

Fraud Detection

Access Security Management
Custom Fraud Parameters
For Banking
For Insurance Industry
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

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