Optimize operations across the value chain to meet rising customer demands and address new challenges.

Getting there means leveraging more of their available data to build and deploy more effective algorithms that improve human decisions across the enterprise.

  • Augment Intelligence

    Harness available data to power every human decision in the enterprise.

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    Power your people by:

    • Prioritizing subrogation opportunities to drive claims recovery
    • Augmenting fraud detection GLM models to reduce false positives and losses
  • Automate and Learn

    Automate the delivery of insights in context-sensitive, personalized, and real-time ways.

    For example, risk managers can get immediate insights on who to call, what to talk about, and why.

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    Drive feedback mechanisms to learn what works to derive greater value from AI algorithms.

    For example, dashboards can reveal how effectively algorithms support underwriting, pricing, claims, and service operations.

  • Behavioral Science

    Help customers and employees embrace AI-driven transformation.

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    For example, drones can provide images of rooftop conditions to support better claims decisions. Behavioral science helps adjusters overcome concerns about such technology, e.g., losing control of their tasks.

  • Power your people by:

    • Prioritizing subrogation opportunities to drive claims recovery
    • Augmenting fraud detection GLM models to reduce false positives and losses
  • Drive feedback mechanisms to learn what works to derive greater value from AI algorithms.

    For example, dashboards can reveal how effectively algorithms support underwriting, pricing, claims, and service operations.

  • For example, drones can provide images of rooftop conditions to support better claims decisions. Behavioral science helps adjusters overcome concerns about such technology, e.g., losing control of their tasks.

Featured Solutions

Our Thinking

Case Studies

  • 2 min. read

    Use data to identify ideal premiums and non-renewable policies

    A home insurer uses machine-learning to selectively target potentially profitable business.

    The Big Picture A major home insurer sought to grow its policy book by selectively targeting potentially profitable business. The company wanted to predict non-catastrophic losses per household per year using home...

  • 3 min. read

    Match individuals across data sources without a unique key

    A credit bureau matches individuals across data sets to extract real-time information.

    The Big Picture A leading credit bureau provided analytics and intelligence support to local credit rating agencies. The company had access to multiple data sources, such as bank data, voter IDs, and tax returns, from...

  • 2 min. read

    Improve customer claims experiences using advanced analytics

    A P&C insurer creates a claims analytics roadmap to implement advanced analytics solutions.

    The Big Picture A leading P&C insurer wanted to build a market-leading analytical foundation. This would help it rapidly and profitably capture whitespace growth opportunity and identify ‘micro-drivers’ of...

  • 2 min. read

    Gain early alerts and insights if metrics deviate from business goals

    An insurer develops an early alert system to identify results that deviate from business goals.

    The Big Picture A major P&C insurer wanted to develop an early alert system for tracking deviations from its goals and benchmarks in its business portfolio. This involved developing a guided analytics dashboard to...

  • 3 min. read

    Track customer journeys across insurance functions

    An insurer creates a data lake to help capture the entire customer journey.

    The Big Picture A leading insurer wanted to track customer journeys across insurance functions and also optimize contact center operations. The company’s existing data was relational in nature, and even though it...

  • 3 min. read

    Manage data size and complexity with a single data delivery platform

    An insurer streamlines data extraction and consumption by developing a single data delivery platform.

    The Big Picture A leading insurer was faced with a data delivery challenge. It had an internal system for collecting policy quotes data across various lines of business. Although the data was very rich for analytical...

Our People

  • David Yeo

    Client Partner

    • Lead Fractal’s Insurance practice in the US
    • Expertise in leveraging analytics to drive business performance
    • Lead Fractal’s Insurance practice in the US
    • Expertise in leveraging analytics to drive business performance
  • Young-Eun (Phil) Ahn

    Engagement Manager

    • Leader who drives business impact through analytics in the insurance industry
    • Experience across the insurance value chain
    • Leader who drives business impact through analytics in the insurance industry
    • Experience across the insurance value chain