INSURANCE / INSURTECH CASE STUDY
Improved Insurance data accessibility by 45% for a U.S. InsurTech ecosystem
Built a governed insurance data lake with automated ingestion pipelines, analytics dashboards, and AI/ML powered querying across multiple associated companies.
45% Better Accessibility
35% Stronger Insights
Secure Multi entity Sharing
Insurance / InsurTech Case Study
THE CHALLENGE
What was holding them back
Data Silos
Fragmented insurer data made it difficult to create unified standards and validate business decisions.
Secure Sharing
The lack of a secure data sharing framework limited collaboration across associated companies.
Validation Gaps
Disconnected systems slowed market validation and reduced confidence in reporting accuracy.
CLIENT SNAPSHOT
About the client
Industry
Insurance / InsurTech
Geography
USA
Service
Data Engineering
Existing Tools
Disparate insurer data sources, siloed databases and manual reporting workflows (spreadsheets & Ad-hoc BI)
THE SOLUTION
Our Insurance / InsurTech Solution
Unified Insurance Data Lake
- Designed a scalable data lake architecture to centralize structured insurance customer data.
- Standardized schemas and entity mapping to support cross company analytics.
Data Engineering Pipelines
- Built reliable ingestion pipelines for continuous, repeatable data onboarding.
- Implemented monitoring and maintenance workflows to keep pipelines stable at scale.
Security and Access Controls
- Enforced secure data handling with governance design for multi-entity usage.
- Implemented controlled access patterns to support compliance and internal validation needs.
Analytics Dashboards
- Delivered executive dashboards to track key operational and market signals.
- Enabled self-serve reporting to reduce dependency on manual data pulls.
AI/ML Querying and Insight Discovery
- Added ML querying to surface patterns and anomalies across companies.
- Improved insight discovery for faster business validation and market intelligence.
THE IMPACT
Measurable Results
45%
Data accessibility
improvement in finding & using reliable data
35%
Market/business insights
enhancement in insight quality
✓
Compliance readiness: Stronger governance for audits and secure sharing
TECH STACK
Technologies Used
Python
Snowflake
Apache Spark
Kubernetes
AWS S3
Tableau
