SAS IS A LUMINARY
Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition
Luminary: Excels in both Advanced Technology and Breadth of Functionality.
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White Paper
Using Digital Identity To Unleash Organizational DataCustomer experience focuses on speed and ease of access, lowering friction where possible. However, this approach has the potential to open up an organization to fraudulent attacks.
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White Paper
Effective fraud analytics: 10 steps to detect and prevent insurance fraudInsurers that follow the 10 steps outlined in this paper offer the best chance for detecting both opportunistic and organized fraud.
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Testimonianza
Advanced analytics can detect and prevent insurance fraud before losses occurYdrogios Insurance limits damage, reduces costs and shields its competitive advantage with SAS® Detection and Investigation for Insurance.
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Testimonianza
Turkish insurer achieves real-time fraud detectionAksigorta uses advanced analytics to increase fraud detection rate by 66 percent.
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ARTICOLO
Shut the front door on insurance application fraud!Fraudsters love the ease of plying their trade over digital channels. Smart insurance companies are using data from those channels (device fingerprint, IP address, geolocation, etc.) coupled with analytics and machine learning to detect insurance application fraud perpetrated by agents, customers and fraud rings.
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White Paper
Fraudsters love digitalBy incorporating fraud analytics as a first line of defense, insurers can build in safeguards for all of their digital programs. In turn, they can spot emerging fraud rings, emerging fraud trends, and make real-time decisions on claims recovery to reduce leakage.
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ARTICOLO
6 ways big data analytics can improve insurance claims data processingWhy make analytics a part of your insurance claims data processing? Because adding analytics to the claims life cycle can deliver a measurable ROI.
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White Paper
Advanced Analytics For Dissolving Data SilosThe growing need for data storage has heightened the proliferation of data silos. Readers will learn how organizations can apply machine learning and artificial intelligence to battle fraud, confirm customer identities and build data systems to avoid potential silos.
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Testimonianza
A risk-based approach to combat money laundering in IsraelSAS Anti-Money Laundering helps Ayalon Insurance monitor suspicious activity and meet challenging regulatory requirements.
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ANALYST REPORT
Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 EditionSAS is a Luminary in Celent's Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition.
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ARTICOLO
Are you covering who you think you’re covering? Payers often don't focus enough on healthcare beneficiary fraud in public and private healthcare plans. Before paying a claim, payers need to ensure beneficiaries are eligible. Advanced analytics applied to a broad range of data can help them accurately detect and prevent beneficiary fraud.
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ANALYST REPORT
Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 EditionSAS was named a Luminary in Celent's Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition, excelling in both Advanced Technology and Breadth of Functionality.
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ANALYST REPORT
SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q3 2021Due to faster changing patterns in payment and nonpayment fraud, risk modeling has transitioned from an annual or semiannual campaign to a continuous activity that financial institutions cannot ignore.
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White Paper
Fighting Insurance Application Fraud Learn about the advantages of using analytics-driven methods for authenticating applicants to reveal customer gaming, agent gaming and potential future claims fraud.
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White Paper
2021 State of Insurance Fraud Technology StudyAs fraud continues to frustrate survey respondents, it's not surprising that the adoption of insurance anti-fraud technologies among respondents grew since the 2018 survey.
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ARTICOLO
Analytics for prescription drug monitoring: How to better identify opioid abusePrescription drug monitoring programs (PDMPs) are a great start in combating abuse of prescription drugs, but they could be doing much more. Better data and analytics can inform better treatment protocols, provider education and policy decisions – and save lives.