Legacy Data Warehouse Modernized to Cloud-Native Architecture
Enterprise struggled with outdated on-premise data warehouse, high costs, and inability to scale for growing analytics needs.
Real results from real clients. See how we've helped enterprises transform their data infrastructure and achieve measurable business outcomes.
Showing all 10 success stories
Enterprise struggled with outdated on-premise data warehouse, high costs, and inability to scale for growing analytics needs.
Government agency struggled with slow SQL Server queries affecting critical financial reporting systems and end-of-month closures.
Fast-growing marketplace needed scalable real-time event processing to handle millions of transactions daily.
Large healthcare organization needed to migrate legacy Oracle systems to cloud while ensuring zero downtime and HIPAA compliance.
Large university system with fragmented databases needed consolidation for better student data management and reporting.
Fast-growing fintech company needed real-time fraud detection and analytics to protect customers and meet compliance requirements.
Rapidly expanding retail chain faced performance issues with MongoDB clusters during peak shopping seasons.
Global manufacturer needed to collect and analyze data from thousands of factory sensors for predictive maintenance.
Insurance provider replaced slow, manual reporting with automated BI dashboards for executive decision-making.
Telecommunications company needed centralized data platform to support AI/ML initiatives and customer analytics.
Let's discuss how we can help transform your data infrastructure and achieve your business goals.