Example Use Cases
Streamlined, Metadata-driven Data Pipelines for EMR Clients
Challenge
Healthcare providers utilizing EMR systems faced significant hurdles extracting critical datasets, including census, patient evaluations, group session records, patient orders, occupancy KPIs, and more. Manual data exports were labor-intensive, error-prone, and inflexible, failing to meet specific operational requirements.
Our Solution
Biscayne Dynamics developed a customized, metadata-driven data pipeline tailored specifically for each client’s unique needs. Our automated process identifies which datasets, fields, and timeframes to export, along with customized scheduling and delivery options. Leveraging modern Python on AWS services, the pipeline seamlessly integrates and delivers precise data extracts to downstream analytics platforms.
Results
- Fully automated data extraction reduced manual effort by over 90%.
- Bespoke data delivery increased data relevance and usability, driving more informed decision-making.
- Dramatically improved accuracy and timeliness of critical operational metrics.
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Anomaly Detection to Protect Revenue Integrity in Financial Pipelines
Challenge
A financial services client managing billing data for thousands of customers across dozens product categories experienced sporadic revenue anomalies that delayed financial reporting due to undetected anomalies in daily charge extractions.
Our Solution
Biscayne Dynamics implemented an anomaly detection solution utilizing scikit-learn’s Isolation Forest algorithm. The solution continuously monitors daily charges, automatically identifying unusual patterns that could indicate data extraction issues or billing errors. Early detection allows swift remediation and prevents financial discrepancies from escalating.
Results
- Identified anomalies within hours, significantly accelerating issue resolution.
- Increased trust and reliability in financial reporting across thousands of customer accounts.