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ACL for Insurance
 
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"On the continuous audit side, we are looking at 400% ROI based on the amount that we have already recovered." RLI Insurance

 
RLI  

Featured Podcast:
How did RLI Insurance use ACL to recover nearly $4 million in lost deductibles? Learn how they used scripting along with an innovative "red flag theory" to implement continuous auditing and account for false positives. Uncover some of the important lessons learned from their revenue leakage audits.
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Scripps spacer

Featured Podcast:
Learn how Fidelity National Finance uses ACL to mitigate business risks such as mortgage fraud. The audit team has created the analytics required to detect and report fraud and built a workflow engine that enables them to take appropriate action across an organization of 17,000 employees.
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arrow Read more about Fidelity's audit solution in Insurance and Technology

 
 
Insurance Revenue Leakage  

Video: Insurance Revenue Leakage- Identify Claims Errors & Fraud
Watch this 12-minute video and see how you can instantly pinpoint claims errors and potential fraud from over 200,000 rows of insurance data! Easily identify and measure the impact of revenue leakage using ACL data analysis.
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Application of ACL  

Applications for Insurance
Scan these 50 quick risk-management tests within different areas across insurance industries for practical tips on mitigating business risks and improving financial reporting. How does your organization stack up?
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10 Principles of Risk Management  

10 Principles of Risk Management for Insurance Auditors
In a troubled economy, Insurance Auditors can add tremendous value to their organization by demonstrating cost-savings through increased efficiency and stopping revenue leakage due to fraud, error and waste. This tipsheet provides 10 principles of using data analysis to manage risk.
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1Fraud Detection DP  

Discussion Paper: Fraud Detection Using Data Analytics in the Insurance Industry
Internal audit is a key player in helping address fraud. Why be reactive and wait for a whistleblower to come forward when you can be prepared and seek out indicators of fraud in data? Learn how your organization can detect these warning signals much sooner and stop fraudulent activity before it becomes material and creates financial damage.
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