Explore resources related to insurance analytics.
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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.
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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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White Paper
The State of Insurance Fraud TechnologyFor the third consecutive time in six years, insurers report increasing amounts of suspected fraud. Nearly three-quarters of insurers in the 2018 survey say fraud has increased, an 11-point increase since 2014. The expansion in anti-fraud technology does have growth pains, however. Insurers report increased frustration with integrating data into their systems and continuing problems with high levels of false positives.
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White Paper
Simplifying Fraud Analytics: 10 Steps to Detect and Prevent Insurance FraudTraditional fraud detection systems tend to focus on opportunistic or soft fraud – when an individual takes advantage of a situation to pay a lower premium or exaggerate a claim. But hard fraud perpetrated by organized crime rings is growing – and so is the sophistication and velocity of attacks. Insurers 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
Turkish insurer achieves real-time fraud detectionAksigorta uses advanced analytics to increase fraud detection rate by 66 percent.
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Customer Story
Advanced analytics can detect and prevent insurance fraud before losses occur -
E-Book
Four Use Cases Show Real-World Impact of IoT This TDWI e-book explores in detail what IoT means and does for retailers, the automotive industry, state and local governments working with utilities firms, and the manufacturing industry. Common themes include connectedness, data-driven insights, predictive capabilities and transformation.
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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.
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Article
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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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.
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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.
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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.
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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.
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Article
Why it's so easy to steal from insurance companies – and what to do about itThe former leader of a successful and sophisticated fraud enterprise tells insurers how he stole so much money from them, who does it and why it's so easy.
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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.
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White Paper
Solvency II Compliance and beyond: The essential steps for insurance firmsFor the last 30 years, insurance companies have been bombarded with new and increasingly diverse regulations, all designed to validate that insurers are financially stable. The largest transformation of European insurance legislation to date, Solvency II is meant to protect policyholders and minimize market disruption by setting stronger requirements for capital adequacy, risk management and disclosure. Although it’s a long and difficult journey for many insurance companies, the new guidelines are just the beginning of a new risk management playbook. Learn 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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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.
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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.
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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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White Paper
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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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.
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Article
There's more to gain from regulations than just complianceThe things you are doing now to prepare for Solvency II implementation can benefit your business in many other ways. For instance, do you know which customers, regions or products are your most profitable? Do you know where you are leaking profits? Get the most from your compliance efforts.
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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.
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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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Customer Story
Brazil tackles insurance fraud with AI and analyticsCNseg relies on SAS to thwart fraud, improves alert accuracy by 67%.
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Customer Story
Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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Customer Story
Healthier lives for our four-legged friendsAgria uses SAS to provide better care for pets and peace of mind for their owners.
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Customer Story
Q&A: Roberto Benassi on detecting, preventing insurance fraudDetecting, preventing insurance claims fraud is the foundation of upstart property and casualty insurer's strategy to compete with market leaders.
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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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Customer Story
Financial planning with speed, accuracy and confidenceInfinity Property and Casualty Insurance turned to SAS for streamlined financial planning.
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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.
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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.
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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.
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Article
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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White Paper
Driving Growth in Insurance With a Big Data ArchitectureThe SAS® and Cloudera Advantage
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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.
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Customer Story
Cracking down on insurance claims fraudSBM sees fraud-detection rates improve fivefold with SAS Detection and Investigation for Insurance, enabling insurers to save millions of dollars.
Blogs: Insurance
Blogs: Insurance
Check out the latest insurance-related blog posts on a variety of topics relevant to your business.
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