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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.
- 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.
- Livre blanc 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.
- Customer Story Adopter une stratégie de transformation pour la gestion des risquesActeur historique de la Réassurance Nationale, la Société Centrale de Réassurance gère un portefeuille de plus 300 clients et opère dans de 50 pays notamment en Afrique, au Moyen-Orient Afrique et au Moyen-Orient ainsi qu’en Inde, Pakistan, Chine et Corée du Sud. Aujourd’hui, elle se démarque par la qualité de sa gestion ainsi que par sa performance globale.
- Customer Story 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.
- 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.
- Customer Story InShared adopte une approche marketing omnicanal intégrée grâce à la solution SAS Customer Intelligence
- Customer Story Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
- 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.
- 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.
- 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.
- Customer Story 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.
- 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.
- Customer Story L’analytique big data au service des assurésSAS Viya permet de porter plus efficacement secours aux sinistrés de Covéa.
- 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.
- Customer Story 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.
- Customer Story 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.
- 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.
- Customer Story Integrated marketing improves results for marketers and customersDigital insurance company InShared uses SAS Customer Intelligence 360 to improve services and extend personalized offers.
- 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.
- Livre blanc 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.
- E-Book 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.
- 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.
- Article Insights Page 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.
- Customer Story Embrace a transformation strategy for risk managementMoroccan-based reinsurance specialists, Société Centrale de Réassurance (SCR), manages a portfolio of more than 300 clients and operates across Africa and the Middle East including countries like India, Pakistan, China, and South Korea. In recent years, the organisation has accelerated its internalisation drive with the opening of new offices in the Ivory Coast, Egypt, and Rwanda. The company has also opened an office in Johannesburg which serves as a hub for the Southern Africa region.
- E-Book 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.
- Livre blanc 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.
- 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.
- 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.
- 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.
- Customer Story InShared adopte une approche marketing omnicanal intégrée grâce à la solution SAS Customer Intelligence
- Customer Story Transformer la data de l’assurance en data exploitablePendant le SAS Analytics Day organisé à Casablanca, Stéphane Amarsy dirigeant d’Inbox et Laila Boutazout, responsable marketing stratégique et intelligence client chez RMA ont participé à une interview à cette occasion.
- Customer Story A risk-based approach to combat money laundering in IsraelSAS Anti-Money Laundering helps Ayalon Insurance monitor suspicious activity and meet challenging regulatory requirements.
- Customer Story 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.
- Customer Story Turkish insurer achieves real-time fraud detectionAksigorta uses advanced analytics to increase fraud detection rate by 66 percent.
- 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.
- 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.
- Customer Story Depuis 15 ans, Verspieren modernise et renforce son expertise analytique avec SASComment les solutions analytiques SAS ont su accompagner Verspieren depuis 2008.
- 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.