Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Enterprise Data Warehouse Modernization and Automated Reporting System Development for Global Insurance Provider
  1. case
  2. Enterprise Data Warehouse Modernization and Automated Reporting System Development for Global Insurance Provider

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Enterprise Data Warehouse Modernization and Automated Reporting System Development for Global Insurance Provider

nix-united.com
Insurance
Financial services
Reinsurance

Current Data Warehouse Limitations and Reporting Inefficiencies

Existing enterprise data warehouse suffers from severe scalability limitations due to outdated technology stack, requiring excessive resources for maintenance. Daily ETL processes exceed 48 hours causing decision-making delays, while poor data governance (lacking data dictionary and lineage) impedes reliable reporting. Engineering team spends 90%+ time on maintenance rather than innovation.

About the Client

Multinational insurance and reinsurance company operating across multiple countries with complex data integration needs

Key Objectives for Data Warehouse Modernization

  • Implement scalable EDW architecture for growing data volumes
  • Reduce ETL processing time to under 4 hours
  • Establish robust data governance framework
  • Automate report generation and delivery processes
  • Improve cross-departmental operational efficiency by 40%

Core Modernization Requirements

  • Incremental data loading with parallel processing
  • OLAP cube-based multidimensional data analysis
  • Automated report generation with multiple formats (prebuilt/ad-hoc/self-service)
  • Data lineage tracking and enterprise data dictionary implementation
  • SSIS/SSAS integration for ETL/OLAP processing

Modernization Technology Stack

MS SQL Server
SSIS
Tableau
OLAP
PostgreSQL
Pyramid Analytics

System Integration Requirements

  • Legacy operational servers
  • Existing BI visualization tools
  • Multi-country data sources

Critical System Requirements

  • Horizontal scalability for 5x data growth
  • 99.9% system uptime SLA
  • Role-based access control (RBAC)
  • Data encryption at rest/in transit
  • Disaster recovery with <2 hour RTO

Expected Business Impact of Data Warehouse Modernization

Enable real-time business decisions through 12x faster data processing (4-hour vs 48-hour ETL cycles), reduce operational costs by 35% through automation, and increase engineering productivity by reallocating 70%+ of team resources to strategic initiatives. Enhanced reporting capabilities will improve cross-departmental collaboration and regulatory compliance.

More from this Company

Modernization of Public Mobility Platform with Cross-Platform Applications
Automated Testing Solution for Legacy Virtual Desktop System
Modernization of Enterprise Collaboration Platform for Pharmaceutical Data Management
Cloud-Based AI RPA Platform Expansion with Scalable Plugin Architecture
Real-Time Road Condition Monitoring and Vehicle Telemetry SaaS Platform