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.

Cloud Migration and Modernization of Medical Device Monitoring Platform for Scalable Analytics

sigma.software

Medical

Legacy System Limitations and Scalability Challenges

Existing CT scanner monitoring platform lacks scalability and real-time data processing capabilities, hindering analytics performance and maintenance efficiency. Need to modernize infrastructure to support growing global device network and advanced analytics requirements.

About the Client

Global leader in medical technology, specializing in diagnostic imaging and healthcare solutions

Cloud Migration Goals for Enhanced Performance

Migrate ETL pipelines and analytics components to Azure Cloud
Implement near real-time analytics architecture
Design scalable cloud-native solution with multi-vendor integration
Establish agile development practices across teams
Enhance BI visualization capabilities with Power BI and Qlik integration

Core Modernization Requirements

ETL pipeline migration with Azure Databricks integration
Real-time data processing using Spark Structured Streaming
Unified analytics dashboard templates
Pattern detection engine for predictive maintenance
Self-service BI platform with data pre-aggregation

Target Technology Stack

Microsoft Azure Cloud

Databricks Lakehouse Platform

Apache Spark

Power BI

Qlik Dashboards

Microsoft ODBC

Critical System Integrations

Existing CT scanner network
Databricks-Azure ecosystem
Enterprise BI tools (Power BI, Qlik)
Event messaging systems

Operational Requirements

Horizontal scalability for 100k+ devices
Real-time processing latency <500ms
99.95% system availability
ECIF compliance for healthcare data
Parallel computation for duplicate removal

Transformative Business Outcomes

Enables 3x faster data processing, 40% reduction in maintenance costs through predictive analytics, and scalable infrastructure supporting 200k+ medical devices. Real-time analytics reduces equipment downtime by 25% while agile transformation improves cross-team collaboration efficiency by 30%.