Success StoriesCloud Data Migration for Premier Industrial Solutions Company
Subsidiary of world-class auto and industrial distribution organization
Business Need
Objectives Driving Transformation
A premier industrial solutions company required increased access to financial, inventory, and item data to support self-service reporting and faster business decision-making. Legacy on-premise infrastructure limited reporting agility, slowed turnaround times, and constrained scalability. The organization sought to curate and migrate large-scale data assets to the cloud, modernize its reporting architecture, and improve data accuracy while enabling simplified data handling for broader enterprise consumption.
- Migrate on-premise financial and inventory data to the cloud
- Enable faster report turnaround through simplified data structures
- Improve data accuracy and consistency across domains
- Modernize reporting infrastructure to support self-service analytics
- Ensure full data replication and availability in Google BigQuery
- Reduce long-term technical debt and infrastructure costs
Modernize financial and inventory reporting by migrating high-volume data assets to the cloud, enabling real-time self-service analytics and improved data accuracy.
Challenge
Barriers to Progress
The migration required moving 30 raw database objects and more than 1 billion records across 11 domains into Google BigQuery, while maintaining high performance expectations. Existing manual processes for cleansing, standardizing, and denormalizing data increased risk and extended timelines. Internal skill gaps in Informatica cloud capabilities added complexity, and the team needed to ensure 100% data replication for reliable processing and reporting continuity.
- 30 database objects and 1B+ records spanning 11 domains
- High performance and availability requirements
- Manual cleansing and denormalization processes
- Limited internal expertise in Informatica cloud data integration
- Requirement for complete, accurate data migration
- Legacy architecture limiting reporting scalability
Solution & Results
What Paradigm Enabled
Paradigm implemented a cloud data integration solution leveraging Informatica Cloud Data Integration (CDI) and Google BigQuery to transform and migrate enterprise data assets. Automated ingestion and change data capture eliminated manual refresh cycles and optimized performance. Data transformation processes were standardized to support rapid drill-down analytics and high-speed reporting. Advisory guidance and best practices ensured sustainable cloud adoption and scalable architecture for future growth.
- 99% reduction in data refresh time (1B+ records refreshed in 2–10 minutes vs. once daily)
- Automated refresh of 1B+ rows, enabling deeper and faster data drill-down
- 26% increase in reporting efficiency through self-service enablement
- 30% reduction in technical debt and infrastructure costs via scalable, reusable architecture
- Full replication of enterprise data into Google BigQuery for reliable processing
The organization now operates on a modern, cloud-based analytics platform that accelerates financial insight, improves operational visibility, and provides a scalable foundation for continued digital transformation.
26%
Increase in reporting efficiency
30%
Less technical debt