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Data
Data Engineering
Healthcare
Challenge
Disjointed stacks and poor interoperability made it hard to scale non-communicable disease programs across regions. A unified platform was mission-critical.
815%
Increase in Patient Enrollment
80%
Reduction in Cost and Timeline to Launch New Programs
Data
Data Engineering
Education
Challenge
The Sinquefield Center for Applied Economic Research (SCAER) at St. Louis University needed a scalable, cost-effective way to manage 450TB of anonymized cell phone data for social research.
$28000
Saved in processing costs
1000+
Micro-Files Eliminated
80%
Storage cost reduction
Artificial Intelligence
Cloud
Healthcare
Challenge
Manual patient onboarding was slow and error-prone, hurting both care delivery and operational efficiency. Automation was overdue.
90%
Accuracy in Onboarding Info Extraction
Minutes
Instead of hours to onboard
App Modernization
Cloud
Healthcare
Challenge
A legacy EHR platform was buckling under performance, stability, and scale issues. The ask: a clear modernization strategy and a path to the cloud.
30%
Improved Response Time
25%
Reduced Critical Incidence
10-15%
Faster Transaction Speeds
Data Engineering
Data
Healthcare
Challenge
Scattered patient data and lack of interoperability slowed clinical decisions. The mandate: HIPAA-compliant, real-time access across systems.
15%
Reduction in Time-to-Care
47%
Faster, Informed Decision-Making
<10 Mins
To Retrieve Unified Patient Data
Cloud
Cloud Engineering
All Industries
Challenge
Skyrocketing AWS costs from dormant environments, inefficient SQS queues, and overlapping service dependencies demanded a deep infrastructure cleanup.
60%
Decrease in AWS Cost Optimization
71.3%
Decrease in AWS Cost in CGN-Sandbox Account
0
Impact on Uptime
