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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Livre blanc
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
Predicting real-time insurance needs with hyperpersonalizationSBI General Insurance maximizes customer life cycle value with SAS Customer Intelligence 360.
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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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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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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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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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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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Livre blanc
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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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
L’analytique big data au service des assurésSAS Viya permet de porter plus efficacement secours aux sinistrés de Covéa.
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Livre blanc
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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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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Livre blanc
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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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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Témoignage client
InShared adopte une approche marketing omnicanal intégrée grâce à la solution SAS Customer Intelligence -
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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Livre blanc
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 -
Livre blanc
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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RAPPORT D'ANALYSTE
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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Témoignage client
Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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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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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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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.
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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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Livre blanc
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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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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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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Livre blanc
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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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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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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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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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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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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Témoignage client
Q&A: Risk and yield in the era of Solvency IILeading Italian insurer transforms Solvency II compliance into strategy, aligning capital management with business performance and optimizing production factors.
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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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Livre blanc
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
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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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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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?
With a single, comprehensive solution built on data and AI, insurers can balance customer experience with fraud, risk and pricing demands. This integrated analytical foundation provides a holistic view of policyholders’ financial data, risk profiles, behaviors and interactions. In turn, insurers can become more efficient and resilient – preparing the organization for the challenges of today and tomorrow.
Blogs: Insurance
Blogs: Insurance
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