The Importance of Data in Insurtech

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Summary

Data plays a crucial role in the growth and innovation of insurtech, enabling insurance companies to make smarter decisions, streamline processes, and offer more personalized customer experiences. By leveraging real-time data from technologies like telematics and AI, insurers can revolutionize everything from underwriting to claims management, fostering a more efficient and customer-centric industry.

  • Focus on continuous data quality: Treat data as a critical business asset and implement ongoing processes to ensure it remains clean, accurate, and actionable for real-time decision-making.
  • Embrace AI integration: Use AI to automate tasks like data management, risk assessment, and fraud detection, allowing insurers to improve operational efficiency and scale effectively.
  • Invest in infrastructure: Build robust systems for data management and integration to unlock insights that enhance customer experiences, streamline operations, and drive innovation in insurance services.
Summarized by AI based on LinkedIn member posts
  • View profile for Matteo Carbone

    Co-Founder, Board member, Insurtech Thought Leader, Keynote speaker and writer on insurance innovation

    179,094 followers

    The auto insurer of the future will apply extensively AI to a constant flow of #telematics data‼️ Do you agree with our assessment of the impact? 🔴 game changer 🟢 impacted 🔵 marginal impact 🔴Product management “The design and maintenance of a telematics product that provides more frequent interaction with policyholders is completely new compared to the traditional insurance model, which uses static rating features. The days of the “one-policy-fits-all” approach to auto insurance are over.” 🔴 Marketing “As these programs become more innovative, shifting how we market the value proposition to customers will be vital. Marketing activities need to focus on customer engagement through improved communication and transparency.” 🔴Policy acquisition and servicing “Telematics data is changing the entire customer journey from issuing a quote to the policy contract, how the policy is serviced, including billing, and finally, the impact on renewals.” 🔴 Underwriting and risk management “Risk analysis, inspection, monitoring and loss control—typically core and addressed at the policy level in middle and large commercial risks—can be performed at scale on the personal auto book, applying algorithms to the telematics data” 🔴 Sales and distribution “telematics offers new ways to acquire customers, such as using the driving score at point of sale.”“Pre-existing data allows companies to offer the most accurate rating/discount upfront, replacing the need to capture driving data during the introductory period. The insight collected about policyholders and their risks has the potential to unlock further opportunities for upselling and cross-selling.” 🔴 Claims management “Claims activity is ripe for a deep redesign fueled by using telematics-based insights to detect crashes and proactively reach out to policyholders, assessing the crash dynamic and the overall anti-fraud process.” 🔴 Support functions. “From an IT, organizational and data management perspective, the amount of data received with telematics is new for most insurance companies, and the skills required will be broader than the traditional insurance skillset. Investing in the right infrastructure, data foundation and people is vital because nothing happens in telematics without data. The better a carrier is at managing this dataset throughout the customer value chain, the greater their chances of success—as this fuels the pricing models that determine if a discount is warranted, powers the customer experiences, impacts future strategies and innovations, and ultimately unlocks the larger benefits.” #iotinsobs #insurtech

  • View profile for Lisa Wardlaw

    Big Courage | COO | CTO | CFO | System Builder for Post-SaaS Infrastructure | Architecting Execution for Real-Time AI | Innovating Where the Edge Becomes the System

    18,329 followers

    📰 Tune in to the latest edition of Insurance Amplified! ⚡🔌 This week’s blog dives into a powerful conversation between myself and Lindsey Strong, CIC, Chief Product Officer at IRYS Insurtech. Together, we unpack the essential role of data quality in AI-powered insurance distribution and how IRYS Insurtech is leveraging GenAI to make clean, actionable data a core asset. Here are some highlights you don’t want to miss: ⚡ Continuous Data Quality “Data is our asset. We should always think of it as our asset. It is what we have to leverage every single day.” IRYS’s Data Quality Portal shifts data from a “set it and forget it” task to a continuous process, enabling real-time insights and decisions. ⚡ AI-Driven Operational Efficiency “We wanted to eliminate [the burden] by automating the identification and resolution of data issues.” IRYS’s AI tools streamline data management, reducing manual work and boosting scalability for distribution enterprises. ⚡ Seamless CRM and AMS Integration “CRM and AMS all exist in the same solution…we’re not fighting over it anymore.” IRYS integrates CRM and AMS systems, allowing data to flow freely and reducing data discrepancies. 🗣💬 My Favorite Quote: “Our data quality portal…evolves alongside the organizations it’s interacting with.” 🚀 Want to know how AI and data quality can transform your distribution strategy? 🎧 Listen to the podcast here: https://lnkd.in/eeSB7mXS 🔌 Sponsored by IRYS Insurtech, this season explores the intersection of AI and data quality in insurance distribution. Stay amplified and plugged into the latest insights! 🔌 #InsuranceAmplified #InsuranceUnplugged #AIinInsurance #DataQuality #GenerativeAI #InsuranceDistribution #IRYSInsurtech #FutureOfInsurance #TechTransformation

  • View profile for Jennifer Linton

    Real-time data and predictive-AI for insurance quoting. Millions of insurance workflows enabled each month with our API services for auto, home, and commercial lines.

    9,077 followers

    Recent conversations with clients and analysts really illuminated the growth of insurance #data platforms - either inhouse, or within core, and core-adjacent, software providers, or via API (as we do at Fenris Digital). Adopting an AI-first approach is better when the underlying data is accurate, accessible, and injected in real time into workflows and ML algorithms. Sourcing applicable and permissible third party data bring immense lift to results, be it at quote, renewal, or while servicing the account. This purpose built approach to data and AI directly empowers carriers, brokers, and agencies to make better and more timely decisions. But it also promotes development of a data-driven culture that prepares organizations for long-term success. In all things AI, keep in mind the guiding principles of transparent, understandable, and fair, and set the course for better customer experiences. #insurtech #propertyandcasualty #earlyriskassessment #machinelearning

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