The Challenge
As business leaders across the organization demanded faster, more flexible access to data, the existing infrastructure couldn't keep up. Analytics teams were stuck maintaining brittle ETL pipelines and working around compliance limitations in older environments. Data silos hindered reporting, making it challenging to enforce consistent access policies across the organization. Business-critical workflows such as enrollment analysis, cost trend modeling, and care program tracking relied on manual data stitching. The client knew it couldn’t unlock value from advanced analytics or AI until the foundation was rebuilt.
The Solution
Productive Edge worked with internal teams to design a secure, scalable Lakehouse using Azure Databricks. The engagement started with a comprehensive workload inventory and prioritization exercise, identifying which processes could be modernized immediately and which would need redesign. A modular data architecture was implemented to support streaming and batch use cases. Role-based access controls, audit logging, and protection of PHI were built into the core framework to ensure HIPAA compliance. We also worked alongside the governance team to define ownership and policies for cross-departmental data usage.
The Results
The health plan now has a HIPAA-compliant cloud data platform ready to support enterprise analytics and AI adoption. With 80% of key analytics workloads mapped for migration and five departments already using governed data access, the organization has significantly improved agility. Teams are spending less time on data wrangling and more time delivering insights. The new architecture not only meets today’s operational needs, but it also sets the stage for predictive models, natural language interfaces, and AI-driven automation across the payer business.
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