Data and Analytics

Breaking Silos, Building Single Source of Truth for Claims Analytics

Introduction

A premier Auto Club & Insurance Organization was struggling with their legacy data ecosystem that was built on multiple on-premises technologies. They reached out to Exavalu for assistance. Our team helped them with a modern, unified data model to improve BI and reporting.

Services Offered

01

Legacy Modernization

02

Unified Data Model

Challenges

Our client’s legacy data ecosystem required high maintenance costs due to diverse tech
stacks. The data silos further caused inconsistent reporting, leading to a lack of
governance and a single source of truth to rely on.

How Exavalu Made an Impact

  • Migrated their existing data architecture to AWS.
  • Created a unified data model to streamline BI reporting.
  • Developed data lakehouse using S3 as a lake store and Redshift for BI consumption.
  • Replaced legacy ETL architecture with AWS Glue, Lambda, and PySpark.
  • Leveraged AWS analytics and machine learning capabilities to enhance business insights.
/
DOWNLOAD SUCCESS STORY

Improved Insight Generation

With faster data processing

Reduced Maintenance Costs

Using modern cloud infrastructure and simplified tech stack

Claims, Policy, and Billing Centers

3+ subject areas, covering Claims, Policy, and Billing Centers

Cloudera on-premises Migration

1800+ entities migrated from Cloudera on-premises

Legacy Processes Replacement

300+ ETL jobs were discovered replacing SSIS, Sqoop, and Informatica processes

Let’s Build a Unified Data Model to Enhance Your Business’s Operational Resilience!

We’re just a click away