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- 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.
- 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.
- 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 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 Can big data analysis increase sales?Upon growing its assets by nearly 40 percent in 2011 compared to 2010, Cigna Indonesia turned to SAS to handle the barrage of big data for better business decisions.
- Customer Story Ci sono le analisi avanzate e nuovi modelli matematici nel futuro del ReservingPrevedere quale sarà l’esborso in denaro per i futuri sinistri è un’attività regolamentata per le compagnie che devono accantonare in anticipo tali somme, a tutela degli assicurati. Intervista a Dario Santoro, Head of Non Life Reserving di Helvetia Assicurazioni.
- 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.
- 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.
- Articolo 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 Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
- Customer Story Turkish insurer achieves real-time fraud detectionAksigorta uses advanced analytics to increase fraud detection rate by 66 percent.
- Customer Story Winning the battle against money launderingERGO Insurance efficiently meets regulations, detects suspicious activity with SAS.
- Articolo Benvenuti nelle Assicurazioni 4.0Secondo i dati di una ricerca condotta da CeTif-Excellence Consulting, nei prossimi mesi/anni l’80% delle compagnie assicurative punterà a investire su customer experience, canali digitali, prodotti e servizi abbinati per rispondere in modo più puntuale alle nuove esigenze del consumatore/assicurato.
- Articolo 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.
- 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.
- 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 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 Implementing Analytics for Claims Fraud InvestigationA successful analytics solution will radically change life for an insurance company’s special investigative unit, generating higher-quality referrals an average of six times faster.
- Customer Story Brazil tackles insurance fraud with AI and analyticsCNseg relies on SAS to thwart fraud, improves alert accuracy by 67%.
- White Paper Driving Growth in Insurance With a Big Data ArchitectureThe SAS® and Cloudera Advantage
- 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.
- Articolo 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.
- 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.
- 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.
- 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.
- 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 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.
- White Paper Opportunities for Insurers: Operationalizing Analytics As insurers expand the applications of analytics across business functions – underwriting to claims to marketing – they have to master the basics: quality data, business and analytical skills, and focused strategy. To explore what it takes to operationalize analytics in the insurance industry, IIA spoke with Jim Hulett, Insurance Solutions Consultant in the Global Security Intelligence Practice at SAS.
- Customer Story ERGO Insurance Group centralizes CRM with SAS for campaign management.Marketing from a customer perspective using SAS for campaign management.
- Customer Story Meeting customer expectationsChubb Group increased marketing lift and gained a better understanding of which insurance niches to target by using SAS.
- 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 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.
- 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.
- Customer Story Ensuring immediate, unhindered access to dataEurope's leading insurer gets a step ahead of competitors in Greece amidst significant change and reorganization.
- 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.
- Articolo 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 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 InShared moves towards an integrated omnichannel marketing approach with SAS Customer Intelligence solution
- Customer Story Detecting insurance deceit and reducing lossesCeska pojistovna uses AS Detection and Investigation for Insurance to spot and prevent claims fraud, saving hundreds of thousands of dollars annually.
- Customer Story Tecniche di Machine Learning per garantire il miglior profilo tariffarioAMISSIMA Assicurazioni ha implementato un modello di gestione del rischio e di tariffazione avanzato sul ramo RC Auto per creare un’interfaccia d’uso più vicina alle esigenze degli agenti di rete e ai clienti finali.
- 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.
- 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.
- 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.
- Articolo 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.
- 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.
- 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.
- 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 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.