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- Customer Story AIA Group collaborates with SAS to embark on the IFRS 17 JourneySAS Solution for IFRS 17 rolled out for AIA in parallel run across major Asian markets.
- White Paper Insurers: Are You Ready for IFRS 17?This white paper tells you what to look for in an IFRS 17 solution and explains why insurers should be taking action now to prepare for the new requirements.
- 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.
- White Paper Driving Growth in Insurance With a Big Data ArchitectureThe SAS® and Cloudera Advantage
- White Paper 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.
- 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.
- 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.
- 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.
- Article Are you covering who you think you’re covering? How rigorous are you in determining membership eligibility? By some estimates, between 4 and 18 percent of all health plan benefits are paid in error due to eligibility fraud issues.
- 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.
- White Paper 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.
- White Paper Solvency II Compliance and beyond: The essential steps for insurance firmsLearn about the essential steps that insurance companies need to complete to ensure Solvency II compliance – and beyond – with the ability to support enterprise risk management.
- 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.
- 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.
- Customer Story Turkish insurer achieves real-time fraud detectionAksigorta uses advanced analytics to increase fraud detection rate by 66 percent.
- 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.
- 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.
- White Paper How to compete in the new era of customer-centric insuranceAdopt an agile pricing strategy that recognises changing behaviour and risk profiles. This Paper explains how to reduce the time needed to build hand-coded models and accommodate a range of programming languages to quickly respone to market changes.
- Customer Story Recovering millions of dollars in fraudulent insurance claims via advanced analyticsThe North Carolina Department of Insurance runs its Insurance Crimes Investigation System in the SAS Cloud to better detect fraud and track investigations from intake through prosecution.
- Customer Story InShared adopte une approche marketing omnicanal intégrée grâce à la solution SAS Customer Intelligence
- White Paper 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.
- White Paper 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.
- White Paper LDTI Should Spell OpportunityComplying with the Long-Duration Targeted Improvements standard presents major challenges to insurance companies. At the same time, it offers them the opportunity to modernize business processes and information systems.
- Customer Story Hybrid approach ensures seamless experience for insurance customersInsurance company Topdanmark gains a true omnichannel marketing approach and better workflows with SAS® Customer Intelligence 360.
- 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.
- Customer Story Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
- 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.
- White Paper The Art and Science of ReinsuranceThis white paper explains how reinsurers can gain a competitive advantage by turning to technology for catastrophe modeling, data analytics and geospatial information systems (GIS) to better understand the data and their risk exposure.
- 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.
- 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 InShared adopte une approche marketing omnicanal intégrée grâce à la solution SAS Customer Intelligence
- Customer Story L’analytique big data au service des assurésSAS Viya permet de porter plus efficacement secours aux sinistrés de Covéa.
- White Paper Understanding Data Streams in IoTThis paper explains how streaming analytics helps you acquire, understand and use real-time, streaming data to make fact-based, automated decisions – and instantaneously react to new information.
- 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.
- 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 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.
- E-Book Becoming a data-driven organizationLearn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations.
- Customer Story Brazil tackles insurance fraud with AI and analyticsCNseg relies on SAS to thwart fraud, improves alert accuracy by 67%.
- 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.