EIOPA Issues Thematic Report on Big Data Analytics in Insurance Sector
EIOPA published a report on the use of big data analytics, along with its associated benefits and risks, throughout the insurance value chain, with focus on motor and health insurance business lines. This report is based on a thematic review that was launched in the summer of 2018, with about 222 insurance undertakings and intermediaries from 28 jurisdictions participating in the review.
The thematic review has revealed a strong trend toward increasingly data-driven business models throughout the insurance value chain in motor and health insurance:
- The use of data outsourced from third-party data vendors and their corresponding algorithms used to calculate metrics, such as credit scores, driving scores, and claims scores, is relatively extended and this information can be used in technical models.
- Big data analytics tools such as artificial intelligence or machine learning are already actively used by 31% of firms and another 24% are at a proof of concept stage. Models based on these tools are often correlational—not causative—and they are primarily used on pricing and underwriting and claims management.
- Cloud computing services, which reportedly represent a key enabler of agility and data analytics, are already used by 33% of insurance firms, with a further 32% saying they will be moving to the cloud over the next three years. Data security and consumer protection are key concerns of this outsourcing activity.
- Big data analytics enables the development of new rating factors, leading to smaller risk pools and a larger number of them. Most rating factors have a causal link while others are perceived as being a proxy for other risk factors or wealth/price elasticity of demand.
- However, as yet, no evidence exists that an increasing granularity of risk assessments is causing exclusion issues for high-risk consumers, although firms expect the impact of big data analytics to increase in the years to come.
EIOPA concludes from the review that many opportunities are arising from big data analytics, both for the insurance industry and for consumers. Although insurance firms have in place or are developing sound data governance arrangements, there are additional risks arising from big data analytics that need to be further addressed in practice. Some of these risks are not new, but their significance is amplified in the context of big data analytics. This is particularly the case regarding ethical issues with the fairness of the use of big data analytics and regarding the accuracy, transparency, auditability, and explainability of certain big data analytics tools such as artificial intelligence and machine learning. EIOPA will further assess how artificial intelligence and machine learning can be best supervised in practice. In this context, different options will be considered, such as introducing specific governance requirements for specific big data analytics tools and algorithms. This could include reviewing the role that Solvency II’s key functions (and in particular the actuarial function) should play in this context.
InsurTech Task Force of EIOPA will, in 2019, conduct further work in the areas of artificial intelligence and machine learning in collaboration with the industry, academia, consumer associations, and other relevant stakeholders. The work being done on artificial intelligence by the Joint Committee of the ESAs as well as in other international fora will also be taken into account. In addition, EIOPA will explore third-party data vendor issues, including transparency in the use of rating factors in the context of the EU-U.S. insurance dialog. Furthermore, EIOPA will develop guidelines on the use of cloud computing by insurance firms and will start a new workstream assessing new business models and ecosystems arising from insurtech. EIOPA will also continue its ongoing work in the area of cyber insurance and cyber security risks.
Related Links
Keywords: Europe, EU, Insurance, Big Data, Fintech, Thematic Review, Insurtech, Artificial Intelligence, Machine Learning, EIOPA
Previous Article
HKMA Publishes CoP on Loss-Absorbing Capacity Requirements of BanksNext Article
ECB Consults on EONIA to €STR Legal Action PlanRelated Articles
BIS and Central Banks Experiment with GenAI to Assess Climate Risks
A recent report from the Bank for International Settlements (BIS) Innovation Hub details Project Gaia, a collaboration between the BIS Innovation Hub Eurosystem Center and certain central banks in Europe
Nearly 25% G-SIBs Commit to Adopting TNFD Nature-Related Disclosures
Nature-related risks are increasing in severity and frequency, affecting businesses, capital providers, financial systems, and economies.
Singapore to Mandate Climate Disclosures from FY2025
Singapore recently took a significant step toward turning climate ambition into action, with the introduction of mandatory climate-related disclosures for listed and large non-listed companies
SEC Finalizes Climate-Related Disclosures Rule
The U.S. Securities and Exchange Commission (SEC) has finalized the long-awaited rule that mandates climate-related disclosures for domestic and foreign publicly listed companies in the U.S.
EBA Proposes Standards Related to Standardized Credit Risk Approach
The European Banking Authority (EBA) has been taking significant steps toward implementing the Basel III framework and strengthening the regulatory framework for credit institutions in the EU
US Regulators Release Stress Test Scenarios for Banks
The U.S. regulators recently released baseline and severely adverse scenarios, along with other details, for stress testing the banks in 2024. The relevant U.S. banking regulators are the Federal Reserve Bank (FED), the Federal Deposit Insurance Corporation (FDIC), and the Office of the Comptroller of the Currency (OCC).
Asian Governments Aim for Interoperability in AI Governance Frameworks
The regulatory landscape for artificial intelligence (AI), including the generative kind, is evolving rapidly, with governments and regulators aiming to address the challenges and opportunities presented by this transformative technology.
EBA Proposes Operational Risk Standards Under Final Basel III Package
The European Union (EU) has been working on the final elements of Basel III standards, with endorsement of the Banking Package and the publication of the European Banking Authority (EBA) roadmap on Basel III implementation in December 2023.
EFRAG Proposes XBRL Taxonomy and Standard for Listed SMEs Under ESRS
The European Financial Reporting Advisory Group (EFRAG), which plays a crucial role in shaping corporate reporting standards in European Union (EU), is seeking comments, until May 21, 2024, on the Exposure Draft ESRS for listed SMEs.
ECB to Expand Climate Change Work in 2024-2025
Banking regulators worldwide are increasingly focusing on addressing, monitoring, and supervising the institutions' exposure to climate and environmental risks.