Success Story

Bringing Real-Time Competitive Intelligence to Pricing & Underwriting

Competitive Pricing Dashboard for Home & Condo Owners

Industry Insurance
Client A Tech-Enabled Mid-Sized Specialty Property Insurance Carrier

Overview

Our client wanted to improve how competitor pricing data was collected, analyzed, and delivered to business users. Existing processes relied heavily on manual effort, spreadsheets, and fragmented data preparation methods, limiting the organization’s ability to react quickly to market changes and optimize pricing and underwriting strategies.

Person leaping between cliffs, representing the pricing challenge

Challenges

The organization faced several challenges that impacted pricing visibility and decision-making:

Manual processing of competitor pricing data slowed analysis and reporting

Heavy reliance on spreadsheets and SQL created data silos and increased error risks

Limited scalability in handling growing volumes of competitor and market data

Lack of centralized, governed data management for pricing analytics

Delayed access to actionable competitive intelligence for pricing and underwriting teams

How Exavalu Made an Impact

Exavalu partnered with the client to design and implement a modern, automated competitive pricing analytics platform. Key initiatives included:

Built a centralized Databricks Lakehouse architecture with Bronze, Silver, and Gold data layers

Automated ingestion and processing of competitor pricing data using Databricks notebooks and orchestrated pipelines

Developed configurable data transformation and enrichment processes using PySpark

Implemented data validation and quality controls to improve reporting accuracy and consistency

Delivered curated pricing datasets for downstream analytics and reporting

Integrated Tableau dashboards to provide near real-time visibility into competitive pricing intelligence

How Exavalu Made an Impact

Built a centralized Databricks Lakehouse architecture with Bronze, Silver, and Gold data layers

Automated ingestion and processing of competitor pricing data using Databricks notebooks and orchestrated pipelines

Developed configurable data transformation and enrichment processes using PySpark

Implemented data validation and quality controls to improve reporting accuracy and consistency

Delivered curated pricing datasets for downstream analytics and reporting

Integrated Tableau dashboards to provide near real-time visibility into competitive pricing intelligence

Business Results

The new platform transformed competitive pricing analysis from a largely manual process into an automated, scalable operation.

With better visibility into competitive pricing, the solution helped the organization achieve a better quote-to-bind ratio and lower loss ratio, while improving market responsiveness and underwriting effectiveness. The platform also established a scalable foundation for incorporating additional data sources and supporting future analytical use cases.

Key highlights

End-to-End Automated Pricing Data Pipeline

Databricks Lakehouse Architecture

Near Real-Time Tableau Dashboard

Configurable Pricing Banding Framework

Enhanced Pricing & Underwriting Visibility

Self-Service Access to Competitive Intelligence

At a Glance

With Exavalu, the organization moved from manual competitor pricing analysis to a scalable, automated intelligence platform, enabling faster pricing and underwriting decisions, improved market visibility, and a stronger foundation for future analytics.

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