Transition to Data Mesh Framework: Revolutionizing Global Healthcare Data Management
Real Results Happen With GetOnData
80 %
Faster Data Query Performance
40 %
Reduction in Data Integration Time
35 %
Decrease in Maintenance Costs
Introduction of the Project to improve Healthcare Data Management
Partnering with a globally recognized medical technology company known for its pioneering contributions to healthcare innovations and serving millions of patients across hundreds of facilities across the USA, GetOnData embarked on a pivotal Healthcare data management project.
This initiative aimed to shift from an antiquated, centralized data storage system to a modern, distributed Snowflake architecture on Azure. The overhaul was not merely a technological upgrade but a strategic move to enhance data fluidity and access, facilitating advanced analytics and decision-making processes.
This transition promised to reshape how the organization managed its vast data assets, improving performance, simplifying data sharing, and accelerating data integration post-mergers and acquisitions to empower analysts and business units like never before.
Key Highlights
Data Integration
Data Transformation
Data Governance
Data Analytics
Business Challenges of Healthcare Data Management
Tailored Solutions for Comprehensive Healthcare Data Management
Enhanced Data Architecture for Scalability
Utilizing Snowflake's robust multi-cluster shared data architecture on Azure, we dynamically scaled operations globally, enhancing performance under diverse workloads. Dedicated virtual warehouses were established for different departments, optimizing resource use and ensuring high availability during peak demand periods, thereby supporting global operational continuity and strategic expansions.
Real-Time Analytics for Immediate Insights
We implemented Snowpipe for continuous, near real-time data ingestion, enabling instant data availability for critical analytics. Change data capture (CDC) technology was integrated to maintain real-time data accuracy, ensuring all system updates were immediately reflected. This setup not only maintained data freshness but also supported rapid, informed decision-making across the company.
Legacy System Integration and Data Integrity
We crafted robust data integration pipelines that included modernizing legacy systems using Databricks for efficient ETL tasks, particularly with unstructured data from MongoDB. Comprehensive data quality checks and reconciliation processes were established to safeguard data integrity during transitions, enhancing reliability across data workflows.
Advanced-Data Governance and Security
We fortified data management with Snowflake's advanced security features, implementing role-based access control and extensive data masking to protect sensitive information and ensure compliance with stringent global regulations. Proactive governance frameworks were also set up to manage the data lifecycle and regulatory compliance efficiently, securing data across all operational regions.
Interactive Dashboards
Our Solutions Impact on Operations and Data Management for Healthcare Business
Global Data Accessibility
Dramatically improved global access to data, facilitating faster and more informed decision-making across the company.
Operational Efficiency
Streamlined data processes reduced query times by up to 80%, significantly boosting productivity and reducing operational costs.
Strategic Business Enablement
Enhanced data capabilities supported new business initiatives and strategic decision-making, particularly in global market expansions and cross-functional analytics.
Client’s Quote
The strategic overhaul of our data systems with Snowflake on Azure has transformed how we manage data globally, unlocking new opportunities for growth and innovation in healthcare technology. GetOnData's expertise has been invaluable in achieving these outcomes, setting new standards in data management that align with our future vision.
