Real-Time Insights, Redefined: Powering Healthcare Decisions with Intelligent Data Engineering

We helped a leading infusion therapy provider overhaul their analytics ecosystem through a redesigned ETL system, accelerating data availability, eliminating delays, and ensuring consistent, high-performance reporting.

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Empowering Precision Care: A Data-Driven Healthcare Leader
A specialized U.S.-based healthcare organization, committed to improving patient outcomes through personalized infusion therapies for complex, chronic conditions. With a nationwide presence, they rely heavily on timely, accurate analytics to support clinical and operational decisions.
Excellence Achieved: Advanced Analytics Drives Operational Success
Since implementing our optimized ETL system, we've observed significant improvements in data processing efficiency and system reliability:
45 Mins
From 15 Hours, data availability accelerated for rapid insights.
0 Day
Report waiting to ensure immediate access to critical information.
2X
Faster reporting through optimized queries and improved responsiveness.
Outdated ETL Workflows: Delays, Inconsistencies, and Inefficiencies
The client’s analytics system was held back by legacy data processes that created delays and eroded trust in reporting. Key challenges included:
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1
Lag in Data Availability
Processing delays resulted in data being accessible only the following day, slowing down key decisions.
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2
Sluggish Report Performance
Business users experienced longer load times and frequent timeouts when accessing reports.
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3
No Infrastructure Maintenance
The absence of structured databases and infrastructure upkeep led to recurring performance issues.
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4
Inconsistent Data
Gaps in data integrity within the analytics layer reduced stakeholder confidence and hindered strategic planning.
From Processing to Insights: A Complete Analytics Transformation
We delivered a comprehensive analytics ecosystem enhancement, optimizing data operations from processing to reporting delivery.
Optimized SSAS Processing
Enhanced Analytics Cube processing to significantly reduce processing time and improve efficiency.
Memory Management
Implemented strategic memory management to ensure optimal system performance.
Data Consistency Resolution
Resolved existing data and reporting inconsistencies within the analytics layer.
Enhanced SSAS Cube
Upgraded cube capabilities to align with evolving business requirements.
Robust ETL Framework
Re-designed and deployed a comprehensive SSIS-based ETL framework for near real-time data movement.
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Tech Stack
Birst
Sharepoint
SQL Server
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