A prominent healthcare provider in the midwest faced significant challenges with their existing data warehouse, which struggled to meet business demands due to data limitations. The organization required a modern data and analytics platform to handle the growing volume of data and support advanced analytics and AI/ML initiatives. Business data latency and manual data retrieval were hindering productivity, and there was a pressing need for improved data governance and compliance.

• Data Limitations: The existing data warehouse could not meet all business requests, leading to delays and inefficiencies.
• Latency and Manual Retrieval: Data latency and manual data retrieval processes were slowing down productivity.
• Lack of Advanced Analytics Support: The organization needed better support for advanced analytics and AI/ML capabilities.
• Data Governance and Compliance: Ensuring data quality, consistency, and compliance with regulatory standards was critical.

Airo provided a comprehensive Data for AI solution designed to address these challenges and modernize the healthcare organization’s data platform:

• Thorough Assessment: Conducted a detailed assessment of data sources, data quality, system performance, dependencies, data consumption, reports, and tools. This thorough evaluation helped identify areas needing improvement and set the stage for a smooth migration.
• Data Migration: Migrated 1100 databases and 1200 pipelines to a cloud-based solution using Azure Synapse Analytics. This migration enabled efficient data processing and exploration.
• Azure Purview for Data Governance: Implemented Azure Purview to ensure data quality, consistency, and compliance. This tool provided robust data governance capabilities, essential for maintaining high standards of data management.
• Streamlined Development with Azure DevOps: Utilized Azure DevOps for streamlined development, testing, and deployment of data pipelines and dashboards. This approach ensured that the development process was efficient and reliable.
• Interactive Dashboards with Power BI: Employed Power BI to create interactive dashboards and visualizations, providing users with intuitive and insightful data views.

The implementation of Airo’s Data for AI solutions led to significant improvements and benefits for the healthcare organization:

• 30% Faster Data Processing: The modernized data platform enabled 30% faster data processing, enhancing the organization’s ability to make timely decisions.
• Improved Data Accessibility and Availability: The migration to Azure Synapse Analytics improved data accessibility and availability, ensuring that users could quickly access the data they needed.
• Enhanced Data Governance and Security: The implementation of Azure Purview improved data governance and security, with a data governance committee, stewardship policies, and procedures set up to maintain high standards.

Results

Partnering with Airo transformed the healthcare organization’s approach to data management. The comprehensive Data for AI solutions provided streamlined operations, reduced manual effort, and enhanced overall efficiency.

By collaborating with Airo, the healthcare organization was able to optimize their data processes, gain valuable insights from their data, and ensure sustainable growth. Our solutions allowed them to focus on their core mission of delivering high-quality healthcare services while we handled the complexities of data management and governance.

This case study highlights how strategic Data for AI solutions can drive success and innovation in the healthcare industry. By working with Airo, the healthcare provider maintained its competitive edge, improved service quality, and ensured long-term operational efficiency. Our partnership exemplifies the transformative impact of Data for AI on business operations.