Explore resources related to insurance analytics.
Better compete in the new era of customer-centric insurance and respond quickly to market changes by reducing the time needed to build hand-coded models and accommodate a range of programming languages.
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Технический документ
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.
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Технический документ
Effective fraud analytics: 10 steps to detect and prevent insurance fraudInsurers that follow the 10 steps outlined in this paper offer the best chance for detecting both opportunistic and organized fraud.
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Аналитический отчет
Top Strategic IoT Trends and Technologies Through 2023In this report, Gartner examines 10 longer-term IoT technologies and trends that will be important in the 2018 through 2023 time frame.
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Технический документ
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.
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Аналитический отчет
SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q3 2021Due to faster changing patterns in payment and nonpayment fraud, risk modeling has transitioned from an annual or semiannual campaign to a continuous activity that financial institutions cannot ignore.
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Технический документ
Demystifying AnalyticsTo educate and inform insurance companies about how they can move toward becoming an “analytic insurer” – one that embeds analytics into daily operations to make better decisions that reduce costs, improve pricing and more.
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Customer Story
Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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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.
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Технический документ
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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Технический документ
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.
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Технический документ
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.
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Технический документ
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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Article
Страхование: мошенникам вход воспрещен!Как выявить, что вас обманывают агенты и страхователи, а также распознать первые признаки будущего мошенничества.
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Технический документ
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.
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Технический документ
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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Технический документ
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.
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Технический документ
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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Customer Story
Турецкая страховая компания обнаруживает мошенничество в режиме реального времениAksigorta uses advanced analytics to increase fraud detection rate by 66 percent.
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Customer Story
Бразилия борется со страховым мошенничеством с помощью ИИ и аналитики.CNSeg полагается на SAS, чтобы препятствовать мошенникам, и повышает точность оповещения на 67%
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Article
Монетизация данных в эпоху цифровой трансформации: роль и задачи ИТЦифровая трансформация стала основной темой обсуждений на недавней 22 ой конференции «ИТ в страховании». Участники сошлись во мнении, что внедрение и применение аналитических технологий для монетизации данных уже стало обязательным условием для качественных преобразований в отрасли.
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Технический документ
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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Customer Story
Advanced analytics can detect and prevent insurance fraud before losses occur | SAS -
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.
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Вебинар
Автоматизация процессов урегулирования убытков в автостраховании в новых реалияхКак не потерять клиентов и снизить издержки. Стратегия, проблематика, практика
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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.
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Технический документ
Driving Growth in Insurance With a Big Data ArchitectureThe SAS® and Cloudera Advantage
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Технический документ
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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Технический документ
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.
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Вебинар
Новый всплеск страхового мошенничества после COVID-19Вебинар основан на богатом практическом опыте SAS в области создания Аналитических Антифрод-систем для российских и международных страховых компаний.
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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.
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Технический документ
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.
Blogs: Insurance
Blogs: Insurance
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