Case Studies

We help insurance companies build must-have solutions in data architecture, analytics and BI, and operating models. We help clients democratize analytics, modernize data governance, and control IT costs. We get things done—no drama or excuses. Our teams are small, collaborative, and deeply experienced with insurance data analytics.

Insurance Analytics Engine

Scaling Insurance Analytics with Palantir

How Palantir helped a commercial insurer unify fragmented data and scale trusted analytics across underwriting and risk.

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Unified Data Catalog

Enterprise Metadata & Stewardship Modernization

See how a large U.S. insurer replaced fragmented metadata tools with a unified data catalog to strengthen analytics, governance, and trusted data access.

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Retention Analytics

Precision Retention Strategy for Profitable Growth

See how a multi-line P&C insurer built a unified view of retention drivers to understand price elasticity, identify churn risks early, and make smarter, profitability-aligned rate decisions.

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Reliable Executive KPIs

Enterprise Reporting Alignment and Clarity

See how a global insurer standardized KPI definitions, ownership, and governance to eliminate conflicting metrics and restore confidence in executive decision-making.

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Unlocking Loss Ratio Insights

Turning Loss Ratio Drivers into Underwriting Advantage

See how a regional P&C insurer used advanced analytics and interactive dashboards to uncover true loss ratio drivers and enable faster, more profitable underwriting decisions.

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Data Management Modernization

Modern Data Management to Enable AI at Scale

See how a multi-line insurer modernized data management, governance, and quality to deliver trusted data that powers analytics, compliance, and AI-driven decisions.

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Scaling Analytics Without Risk

Laying the Groundwork for AI-Driven Growth

See how a specialty insurer strengthened data governance, quality, and operations to support growth, regulatory confidence, and AI readiness.

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Building Trusted Data Foundations

Modern Data Management for Scalable Analytics and AI

See how a multi-line insurer modernized data management, governance, and quality to establish trusted data for analytics, compliance, and AI-driven decision-making.

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D&A Organization Assessment

Enterprise Analytics Strategy and Performance

See how a national P&C insurer assessed its D&A organization to identify strategic gaps, reset priorities, and build a roadmap for scalable, business-aligned analytics delivery.

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Modern Data Pipelines

Enterprise-Scale Data Pipelines

See how a national insurer modernized legacy pipelines using dbt and Snowflake to improve scalability, automation, governance, and analytics delivery across teams.

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P&C Data Products

Building Trusted Data Products for Analytics Agility

See how a mid-sized P&C insurer adopted a data product operating model to eliminate data silos, restore trust, and accelerate analytics delivery across the enterprise.

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Turning Data Into Decisions

Insurance Analytics & AI Readiness on Snowflake

A mid-sized insurer unified policy, risk, and exposure data on Snowflake to automate reporting, strengthen governance, and enable scalable analytics and AI.

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Enterprise Data Risk

Turning Data Protection into a Business Capability

See how a specialty insurance brokerage established a scalable data protection and governance program to reduce risk, support compliance, and enable AI-driven growth.

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Agency Insights

Unified Agency Performance Analytics for Underwriters

See how a P&C insurer gave underwriters a single, real-time view of agency profitability, growth, retention, and risk to support faster, more consistent decisions.

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Cloud Transformation

Modernizing Enterprise Analytics with Snowflake

See how a North American insurer migrated a massive legacy EDW to Snowflake, cutting costs, improving performance, and building a scalable foundation for analytics and AI.

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Snowflake Center of Excellence

Scaling Snowflake Adoption with Governance

See how a global P&C insurer built a Snowflake Center of Excellence to improve cost transparency, optimize performance, and scale platform adoption with confidence.

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