
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.
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- Analist Raporu
- E-Kitap
- Rapor
- Rapor
- Makale
- MÜŞTERİ HİKAYESİ
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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MÜŞTERİ HİKAYESİ Protecting policyholders through better fraud analysisEthniki Insurance prevents fraud, reduces costs and increases customer satisfaction with SAS Detection and Investigation for Insurance.
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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.
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MÜŞTERİ HİKAYESİ Turkish insurer achieves real-time fraud detectionAksigorta uses advanced analytics to increase fraud detection rate by 66 percent.
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MÜŞTERİ HİKAYESİ Aksigorta SAS Fraud Framework çözümüne yatırım yapma kararı verdiAksigorta Fraud Projesi’nin canlıya alınmasından sonra; fraud yakalama oranı %66 arttırılmıştır.
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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.
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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.
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MÜŞTERİ HİKAYESİ Advanced analytics can detect and prevent insurance fraud before losses occur
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MÜŞTERİ HİKAYESİ Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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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.
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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.
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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.
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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.
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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.