Kaynaklar
Sigortacılık analitiğiyle ilgili kaynakları keşfedin.
İlgi Odağı
Rapor
Yeni müşteri odaklı sigorta çağında nasıl rekabet edilir
Yeni müşteri odaklı sigorta çağında daha iyi rekabet edin ve elle kodlanmış modeller oluşturmak ve çeşitli programlama dillerini uygun hâle getirmek için gereken süreyi azaltarak piyasa değişikliklerine daha hızlı yanıt verin.
Sigortayla ilgili daha fazla teknik incelemeyi, müşteri hikâyelerini, web seminerlerini ve daha fazlasını keşfedin.
Kaynaklara türüne göre göz atmak için aşağıdan bir seçenek belirleyin.
-
- Kaynak türünü seçin
- Analist Raporu
- E-Kitap
- Yönetici Özeti
- Bilgi Formu
- Sektöre Genel Bakış
- Ürün özeti
- Genel Bakış Broşürü
- Çözüm Özeti
- Rapor
- Rapor
- Makale
- Blog yazısı
- Kitap Alıntısı
- Kullanım Örneği
- İnfografik
- Röportaj
- Araştırma
- Seri
- Video
- Web Semineri
- MÜŞTERİ HİKAYESİ
- Rapor 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.
- Rapor 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.
- Makale 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.
- Rapor 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.
- Rapor 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.
- Makale 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.
- E-Kitap 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.
- Makale 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.
- Makale 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.
- Rapor 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.
- MÜŞTERİ HİKAYESİ Protecting policyholders through better fraud analysisEthniki Insurance prevents fraud, reduces costs and increases customer satisfaction with SAS Detection and Investigation for Insurance.
- Makale 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.
- MÜŞTERİ HİKAYESİ Turkish insurer achieves real-time fraud detectionAksigorta uses advanced analytics to increase fraud detection rate by 66 percent.
- MÜŞTERİ HİKAYESİ Aksigorta SAS Fraud Framework çözümüne yatırım yapma kararı verdiAksigorta Fraud Projesi’nin canlıya alınmasından sonra; fraud yakalama oranı %66 arttırılmıştır.
- Rapor 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.
- Makale 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.
- MÜŞTERİ HİKAYESİ Advanced analytics can detect and prevent insurance fraud before losses occur
- MÜŞTERİ HİKAYESİ Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
- Rapor 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.
- MÜŞTERİ HİKAYESİ A risk-based approach to combat money laundering in IsraelSAS Anti-Money Laundering helps Ayalon Insurance monitor suspicious activity and meet challenging regulatory requirements.
- Makale 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.
- Makale 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.
- Makale 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.
- Analist Raporu 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.
- Analist Raporu Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 EditionSAS is a Luminary in Celent's Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition.
- Analist Raporu Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 EditionSAS was named a Luminary in Celent's Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition, excelling in both Advanced Technology and Breadth of Functionality.
- Makale İçgörüler Sayfası 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.
- MÜŞTERİ HİKAYESİ 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.
- Rapor 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.
- Rapor 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.
- MÜŞTERİ HİKAYESİ 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.
- E-Kitap 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?
- Analist Raporu Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring 2024
- Analist Raporu SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- Rapor 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.
- Rapor 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.
- Rapor 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.