Explore resources related to insurance analytics.
Better compete in the new era of customer-centric insurance and respond quickly to market changes by reducing the time needed to build hand-coded models and accommodate a range of programming languages.
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ARTICLE
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.
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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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Ready to see results from your actuarial investments?More than 88% of actuaries say SAS has improved their way of working. Benefits include reduced operational costs, improved scalability of the actuarial process, portfolio optimization and faster premium deployment.
Want to learn more? Check out four scenarios we developed to illustrate the benefits insurers could potentially achieve based on their company size, structure and other variables. These examples represent potential benefits only and do not guarantee any certain result or compliance goal.
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Témoignage client
Integrated marketing improves results for marketers and customersDigital insurance company InShared uses SAS Customer Intelligence 360 to improve services and extend personalized offers.
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Témoignage client
Depuis 15 ans, Verspieren modernise et renforce son expertise analytique avec SASComment les solutions analytiques SAS ont su accompagner Verspieren depuis 2008.
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ARTICLE
Why banks need to evolve their approach to climate and ESG riskManaging environmental, social and governance (ESG) risk is important to banks, regulators, investors and consumers – yet there are many interpretations of how to do it. To thrive, organizations must evolve their risk management practices – including those affected by ESG risk.
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RAPPORT D'ANALYSTE
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring 2024 -
RAPPORT D'ANALYSTE
SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024 -
Témoignage client
L’analytique big data au service des assurésSAS Viya permet de porter plus efficacement secours aux sinistrés de Covéa.
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Top 5 insurance problems – and AI isn’t one of themAs all players in the insurance ecosystem know – insurers to reinsurers, GSIs and regulators – the industry faces a multitude of daunting business problems today. In this paper, we discuss five of the most pressing insurance problems, how they affect communities around the world, and obstacles that can get in the way of solving those challenges. Read the paper to learn how insurers can use AI to identify and solve far-reaching issues. And learn why it will take the entire insurance ecosystem to course correct on business results, climate risk, AI safety and governance, and more.
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Témoignage client
Turkish insurer achieves real-time fraud detectionAksigorta uses advanced analytics to increase fraud detection rate by 66 percent.
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Témoignage client
InShared adopte une approche marketing omnicanal intégrée grâce à la solution SAS Customer Intelligence -
Témoignage client
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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Ebook
The insurance data and AI revolutionInsurers face continual disruptions these days as they respond to price sensitivity, the push for sustainable practices, evolving regulations, climate change issues and all types of heightened risks. How should they respond?
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Témoignage client
Accompagner les transformations grâce aux outils décisionnels analytiquesMutuelle d’épargne retraite, La France Mutualiste s’est dotée d’une plateforme analytique SAS. Une offre utilisée tout d’abord pour répondre à des besoins réglementaires, avant de s’étendre plus largement au sein des différentes directions du groupe, dont la direction commerciale.
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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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Témoignage client
InShared adopte une approche marketing omnicanal intégrée grâce à la solution SAS Customer Intelligence -
ARTICLE
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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ARTICLE
What was your data doing during the financial crisis?Financial institutions usually survive a crisis, then react to prevent it in the future. SAS' Mazhar LeGhari explains how data can help you break that cycle.
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Data is KingLearn about the benefits of building an analytical data warehouse based on an insurance-specific data model so insurance companies can gain the most out of their investment in business analytics.
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ARTICLE
IFRS 17 and Solvency II: Insurance regulation meets insurance accounting standardsIFRS and Solvency II encourage comparability and transparency from a regulatory and accounting perspective for insurers, but there are important differences.
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LDTI: Finding a solution for today and tomorrowSAS can help insurers address the data and technology complexities of LDTI with a solution that solves the problems of today while looking ahead to obstacles of the future.
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Témoignage client
Accompagner les transformations grâce aux outils décisionnels analytiquesMutuelle d’épargne retraite, La France Mutualiste s’est dotée d’une plateforme analytique SAS. Une offre utilisée tout d’abord pour répondre à des besoins réglementaires, avant de s’étendre plus largement au sein des différentes directions du groupe, dont la direction commerciale.
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Témoignage client
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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ARTICLE
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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ARTICLE
Beyond IFRS 17 – what's next?IFRS 17 is not just a new accounting standard. Its fundamental objective is to provide transparency and insight to the insurance business while identifying strengths and areas for improvement. Learn how to keep a long-term vision and achieve broader business value beyond the immediate demands of IFRS 17.
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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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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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ARTICLE
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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Témoignage client
French fintech modernizes its analytics approach with SAS ViyaAs UTWIN’s insurance business grows, SAS Viya enhances efficiency and democratizes analytics among management, business teams and partners.
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Pioneering Ethical AI: The Crucial Role of Property and Casualty InsurersInsurers have long been global leaders in addressing risks and protecting people and businesses. As artificial intelligence continues to revolutionize how business gets done, it is redefining how insurers can deliver on their promises. Read this paper to learn from industry veterans and AI experts alike about:
• The state of AI regulations globally.
• The multifaceted role insurers can play in developing AI ethics.
• Why insurers are uniquely qualified to use AI (and GenAI) – and how they’re using these technologies today.
• An approach to an ethical AI framework that any insurer can follow to establish their own AI narrative.
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Témoignage client
Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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Témoignage client
Protecting policyholders through better fraud analysisEthniki Insurance prevents fraud, reduces costs and increases customer satisfaction with SAS Detection and Investigation for Insurance.
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The Connected InsurerExplore the opportunities IoT creates, the barriers to its adoption within the insurance industry, and what’s needed to fully exploit the potential of IoT for competitive advantage and growth.
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Témoignage client
Predicting real-time insurance needs with hyperpersonalizationSBI General Insurance maximizes customer life cycle value with SAS Customer Intelligence 360.
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ARTICLE
5 Challenges for IoT in the insurance industryIoT promises to substantially reduce losses in the insurance industry, but adoption is low. That will change when the industry overcomes these five challenges.
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Ebook
Four Use Cases Show Real-World Impact of IoT This TDWI e-book explores in detail what IoT means and how different industries are taking advantage of it.
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RAPPORT D'ANALYSTE
Chartis names SAS a Leader in Actuarial Modeling and Financial Planning Systems, 2022SAS is a leader in the categories of asset and liability management, risk and capital management, and financial planning and analysis.
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Ebook
On the Road to Accelerating Claims AutomationMore than ever, insurance companies need to provide customers with seamless interactions that save them time, minimize hassle, and make them feel seen, understood, and cared for. Many are also exploring the use of AI for claims prevention – for example, by creating new risk mitigation services. All of this requires investment in digital technologies that work together to enable intuitive, Amazon-like customer experiences. This ebook explores how insurers can make the leap to digitally transformed, intelligent claims processes that customers love and increase operational efficiency and reduce costs.
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ARTICLE
IFRS 9 and CECL: The challenges of loss accounting standardsThe loss accounting standards, CECL and IFRS 9, change how credit losses are recognized and reported by financial institutions. Although there are key differences in the standards for CECL (US) and IFRS 9 (international), both require a more forward-looking approach to credit loss estimation.
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Insurers: Are you ready for IFRS 17?This white paper explores what IFRS 17 means for insurers, challenges faced in the transition and the top 10 things they should have in their IFRS 17 information architecture.
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Return on Information: The New ROIThis paper explores the techniques and technology available for taking advantage of big data so insurers can price better, expand markets and improve the business of underwriting risk and handling claims.
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How to compete in the new era of customer-centric insuranceLearn how to quickly respond to market changes by reducing the time needed to build hand-coded models and accommodating a range of programming languages.
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Témoignage client
Achieving regionwide IFRS 17 compliance for insurance reporting Tokio Marine Asia uses cloud-based SAS solution to attain complete, consistent compliance for insurance contracts across eight regional markets.
Blogs: Insurance
Blogs: Insurance
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