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White paper search results for: Fraud detection

Improving tax administration with data mining - PDF file

Both federal and state tax administration agencies must use their limited resources to achieve maximal taxpayer compliance. This white paper illustrates how data mining helps tax agencies achieve compliance goals and improve operating efficiency using their existing resources. The paper begins with an overview of data mining and then details an actual tax compliance application implemented by Elite Analytics, LLC, a data mining consulting services firm and SPSS Inc. partner, for the Audit Division of the Texas Comptroller of Public Accounts (CPA). Download this white paper today to learn more about using data mining to improve taxpayer compliance.

(TCWP)

Predictive Analytics for the Claim Handling Process - PDF file

Predictive Analytics for the Claim Handling Process: Understanding the Analytics Behind PredictiveClaims This 12-page technical brief serves as a guide for understanding how PredictiveClaims' predictive modeling capabilities can help your company optimize the claim handling process and improve the detection of suspicious claims.

Predictive Analytics for the Detection of Suspicious Claims - PDF file

Predictive analytics helps streamline the process of identifying potentially fraudulent claims, increasing the efficiency of investigators while rewarding honest customers with faster claims payouts. To learn more, download this white paper.

Using Data Mining to Detect Insurance Fraud - PDF file

Every organization that exchanges money with customers, service providers, or vendors risks exposure to fraud and abuse. Insurance companies around the world lose more and more money through fraudulent claims each year. Agencies can now combine data mining with existing fraud detection and prevention efforts to improve accuracy, decrease manpower and minimize loss.

To ensure adjusters target claims which have the greatest likelihood of adjustment, many insurance companies have incorporated data mining into their investigating and auditing processes. Learn how data mining combines powerful analytical techniques with your firsthand business knowledge to turn data you’ve already acquired into the insight you need to identify probable instances of fraud and abuse.