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Description

Benford's law serves as a tool for uncovering patterns indicative of improper disbursements. It involves examining audit trail reports from QuickBooks or other bookkeeping software to pinpoint unusual activities like voids and deletions. Additionally, it entails identifying multiple payments made for identical amounts on the same day. A thorough review of payroll runs is conducted to detect any payments exceeding the established salary or hourly rates. Payments made on non-business days are also scrutinized. Statistical calculations help in identifying outliers that may suggest fraudulent activity, and duplicate payments are tested for validation. Vendor files in accounts payable are analyzed for names that may be suspiciously similar, and investigations are conducted to uncover fictitious vendors. Comparisons of vendor and payroll addresses are evaluated using Z-Scores and relative size factor tests. While data monitoring and surprise audits have shown to significantly reduce fraud losses, only 37% of organizations implement these critical controls. For businesses employing fewer than 100 individuals, the average loss due to fraud is estimated at $200,000, highlighting that smaller enterprises often lack the necessary resources to effectively detect and address fraudulent activities. Consequently, it is essential for small businesses to adopt more robust fraud detection mechanisms to safeguard their financial integrity.

Description

Uncover the concealed links and associations between claimants, providers, and businesses to assist in detecting systemic insurance fraud. The sophisticated analytics offered by NetMap significantly bolster the SIU's capacity to uncover fraud networks within their organization's claims. This software rapidly assesses claim data, public documents, and additional information to highlight patterns that suggest fraudulent behavior. With robust analytics and data visualization tools, SIU analysts can swiftly identify complex patterns of deceitful activities. By condensing weeks of investigative work into just a few hours, NetMap not only enhances the efficiency of organized claims fraud probes but also accelerates the process from detection to referral, ensuring a more effective approach to combating fraud. Moreover, the application of these tools can lead to more informed decision-making and improved overall outcomes for the insurance industry.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$1,400 one-time payment
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

MedCXO

Country

United States

Website

medcxo.com/fraud/

Vendor Details

Company Name

Verisk Analytics

Founded

1971

Country

United States

Website

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

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring Yes 
Custom Fraud Parameters Yes 
For Banking No 
For Crypto No 
For Insurance Industry Yes 
For eCommerce No 
Internal Fraud Monitoring Yes 
Investigator Notes Yes 
Pattern Recognition No 
Transaction Approval No 

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