Regulator/Industry Hot Topics - E-Reg Conference
Transcription
Regulator/Industry Hot Topics - E-Reg Conference
Market Regulation Regulator and Industry Hot Topics Disclaimer The views and opinions expressed in this presentation do not necessarily reflect those of the National Association of Insurance Commissioners (NAIC) or the National Insurance Producer Registry (NIPR). Panelists Lisa Brown, JD, MCM Sr. Counsel & Director, Compliance Resources American Insurance Association Beth Lovaas Regulatory Advisor Texas Department of Insurance Angela Nelson Director of Market Regulation Missouri Department of Insurance, Financial Institutions, & Professional Registration The Data of Things • 71% of insurers plan to boost IT spending in 2015, with 76% expecting to do so from 2016 to 2018 • Project spending aligning to…gain more insights through business intelligence and analytics • From 2014 to 2015, analytics usage in modeling increased nearly a third. The Data of Things How data is changing the insurance industry today and tomorrow and the ramifications to Underwriting, Claims and Fraud The Data of Things - Underwriting • New, massive amounts of data: Sensor, internet of things, texts, social media, customer background, structured and unstructured, real-time • Enhance underwriting decisions with automated rules system, decrease unit cost per application, decrease cycle time, increase consistency of decisions, reduce uncertainty • Predictive analytics to evaluate individual cases, identify trends, define pricing and loss control models, track risk as changes over time The Data of Things - Underwriting P&C • Combine hyper-local and aggregated weather data to predict risk and loss for crops • Prefill customer data in application, customer confirms data, and creates quote for auto • Use of telematics to monitor individual driving habits (usage-based) • Use of drones for risk assessment, risk management, and loss control • Building and contents valuation estimates integrated with weather forensics The Data of Things - Underwriting L&H • Collect demographic data from customer and query the data against medical data sources • Monitor behavior and medical data via fitness tracker for disability, term and universal life • Attributes that will define next generation of life insurers in five years: digital, customercentric, efficient, data driven, technology empowered The Data of Things - Concerns • Transmission, storage, and reporting of private data and rating factors • Interpretation of data • If rates become individualized, are they still adequate, not excessive, and not unfairly discriminatory? • Adverse selection The Data of Things - Claims • Traditional claims data warehouses • Comprehensive Loss Underwriting Exchange (CLUE) • Automated Property Loss Underwriting System (A-Plus) • Basic claims tools • Advanced claims analytic software The Data of Things - Fraud • Identification of fraud • Social media angle • Data analysis to identify red flags • Largely based on financial information • Predictions of fraud • Data analysis to predict who is likely to commit fraud • Also based on financial information The Data of Things - Concerns • Heightened regulatory concerns about “mission creep” • Striking the right balance of efficiency and innovation with public policy • Maintaining the human element • Transparency and disclosure • Regulator engagement Contact Information Lisa Brown 202-828-7104 lbrown@aiadc.org Beth Lovaas 512-676-6362 beth.lovaas@tdi.texas.gov Angela Nelson 573-751-2430 angela.nelson@insurance.mo.gov Citations Slide 4. • 2015, March 3. Insurance IT Investment Will Grow in 2015, With Large Carriers Leading. http://www.carriermanagement.com/news/2015/03/03/136245.htm • 2015, March 6. 10 key statistics around social media, mobile, analytics, big data, cloud and digital technologies for insurance. http://www.propertycasualty360.com/2015/03/06/10-key-statistics-around-social-media-mobile-analy. Slide 6 • 2015, February 19. Underwriting: Where Insurance Data Really Pays Off. http://www.insurancenetworking.com/news/data_management/underwriting-where-insurance-data-really-pays-off-35565-1.html • 2015, April 13. 5 Ways Digital Data Can Benefit Your Business. http://www.propertycasualty360.com/2015/04/13/5-ways-digital-datacan-benefit-your-business • 2015, April 13. 5 Ways Digital Data Can Benefit Your Business. http://www.propertycasualty360.com/2015/04/13/5-ways-digital-datacan-benefit-your-business Slide 7 • 2015, April 13. How Big Data Helps MetLife and Lincoln Financial Sell Insurance Faster. http://www.insurancenetworking.com/news/feature/how-big-data-helps-metlife-and-lincoln-financial-sell-insurance-faster-357641.html?pg=1 • 2015, April 7. Switching to Usage-Based Car Insurance Might Save You Money. http://www.nerdwallet.com/blog/insurance/2015/04/07/usage-based-car-insurance/ • 2015, March 18. CoreLogic Releases Property Risk Assessment Platform. http://www.insurancejournal.com/news/national/2015/03/18/360981.htm. Slide 8 • 2015, April 13. How Big Data Helps MetLife and Lincoln Financial Sell Insurance Faster. http://www.insurancenetworking.com/news/feature/how-big-data-helps-metlife-and-lincoln-financial-sell-insurance-faster-357641.html?pg=1 • 2015, April 8. Giving Out Private Data for Discount in Insurance. http://www.nytimes.com/2015/04/08/your-money/giving-out-privatedata-for-discount-in-insurance.html?_r=0 • 2015, April 16. Life Insurers Bet on Tech to Entice Customers. http://www.insurancenetworking.com/news/news/life-insurers-bet-ontech-to-entice-customers-35788-1.html?utm_campaign=dailyapr%2016%202015&utm_medium=email&utm_source=newsletter&ET=insurancenetworking%3Ae4200077%3A1333315a%3A&st=ema il. Slide 9 • 2015, April 13. 5 Ways Digital Data Can Benefit Your Business. http://www.propertycasualty360.com/2015/04/13/5-ways-digital-datacan-benefit-your-business