Resources
Explore resources related to insurance analytics.
In the Spotlight
White Paper
How to compete in the new era of customer-centric insurance
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.
Explore more insurance-related white papers, customer stories, webinars and more.
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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
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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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
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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Article
Шесть способов усовершенствовать обработку заявок на выплату страхового возмещенияПочему необходимо включить аналитику в стандартную процедуру обработки заявок? Применение аналитических инструментов в течение жизненного цикла заявки на выплату страхового возмещения поможет повысить окупаемость вложений и сократить затраты.
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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
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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Article
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-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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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.
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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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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
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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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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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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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.
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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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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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Customer Story
Advanced analytics can detect and prevent insurance fraud before losses occur | SAS -
Customer Story
Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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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
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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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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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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Вебинар
Автоматизация процессов урегулирования убытков в автостраховании в новых реалияхКак не потерять клиентов и снизить издержки. Стратегия, проблематика, практика
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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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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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Аналитический отчет
Chartis names SAS a Leader in Actuarial Modeling and Financial Planning Systems, 2022 -
Article
Insights Page
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.
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Технический документ
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.
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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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E-Book
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?
With a single, comprehensive solution built on data and AI, insurers can balance customer experience with fraud, risk and pricing demands. This integrated analytical foundation provides a holistic view of policyholders’ financial data, risk profiles, behaviors and interactions. In turn, insurers can become more efficient and resilient – preparing the organization for the challenges of today and tomorrow.
Blogs: Insurance
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