Genzeon's Payer Data & Analytics Modernization on Microsoft Azure with Databricks is a 6-week consulting engagement designed for healthcare payer organizations looking to accelerate their data and analytics transformation on the Databricks platform running on Microsoft Azure.

This advisory plus engagement starts with a comprehensive assessment and Databricks readiness evaluation, then delivers a working data foundation — ingesting 1–2 payer datasets into a governed, scalable Delta Lake lakehouse with 2–3 domain-specific BI insights aligned to your payer business objectives.

The engagement is powered by Genzeon ADIAS — a proprietary Agentic Data Intelligence Accelerator Suite that automates the full Bronze→Silver→Gold Medallion lifecycle on Azure Databricks, automating Data Model, Ingestion, Quality, Transformation, and Catalog lifecycle — with HIPAA-compliance, PII/PHI classification and governance built in via Unity Catalog — cutting data engineering cycle times by up to 60%.

Engagement Approach (6 Weeks):

Phase 1 — Advisory & Foundation (Weeks 1–2):

Current-State Assessment — Evaluate payer data capabilities, Databricks readiness & platform expectations
Modern Data Platform Setup — Configure Azure Databricks workspace, Unity Catalog metastore, Delta Lake storage on ADLS Gen2 and security controls
Architectural Framework — Define Medallion architecture (Bronze→Silver→Gold) with ADIAS-driven ingestion, quality, transformation, modeling & catalog lifecycle
Deliverable: Databricks readiness report, prioritized payer domain roadmap & QuickStart scope document

Phase 2 — Build & Validate (Weeks 3–5):

Sourcing & Ingestion — Build & deploy payer data pipelines using Databricks Auto Loader and Delta Live Tables (DLT) at each Medallion layer, powered by ADIAS Ingestion, Quality & Transform Intelligence Agents
Historical Data Migration — Migrate legacy payer data ensuring consistency & traceability
Consumption & Analytics — Deploy dashboards (e.g., Claims Denial Rate, Prior Auth, HEDIS/STARS) via Databricks SQL & Power BI

Phase 2 — UAT, Demo & Roadmap (Week 6):

Support UAT & demonstrate domain insights to stakeholders
Deliver knowledge transition, Unity Catalog governance documentation & enterprise scale-out roadmap

Key Outcomes:

30% faster claims data availability via Databricks Auto Loader & Delta Live Tables dashboards
55% less manual effort with HEDIS & prior auth pipelines automated on Databricks
35% faster financial close with self-service FP&A via Databricks SQL & Power BI
40% infrastructure cost reduction with legacy jobs migrated to Databricks Delta Lake
HIPAA-compliant, governed foundation with Unity Catalog and PII/PHI classification from day one

Why Choose Genzeon:

Embedded Healthcare SMEs with deep expertise in claims, HEDIS/STARS, prior auth, enrollment, FHIR/HL7 and compliance data
Proven Delivery — 25+ production data platforms; 1,000+ legacy workloads migrated to cloud lakehouses
Proven ROI, Powered by ADIAS — 2x–3x ROI, cutting data engineering cycle times by up to 60%, automating Data Model, Ingestion, Quality, Transformation, and Catalog lifecycle across the Medallion Architecture

This offering includes advisory assessment, Databricks readiness evaluation, Medallion Lakehouse on Delta Lake, ingestion of 1–2 payer datasets, 2–3 domain-specific BI dashboards, Unity Catalog governance, data quality and knowledge transition. Production deployment, data engineering across all source systems, AI/ML use case builds, and infrastructure/landing zone setup are available as follow-on engagements.

Note: For payers with an existing legacy BI estate (e.g. Qlik, Tableau, SSRS, Cognos), Genzeon leverages Vortex® — an AI-driven BI migration accelerator — to assess, rationalize, and auto-convert legacy dashboards to Power BI as a separate workstream.

Genzeon Payer Data & Analytics Modernization on Microsoft Azure with Databricks

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