Genzeon Payer Data Analytics Advisory on Azure
Genzeon
Denial patterns compound silently. Risk adjustment data sits in silos. Star Ratings and MLR obligations get managed reactively in spreadsheets. And platforms get chosen before anyone has mapped which payer functional area actually delivers the fastest ROI.
Genzeon's Payer Data Analytics Advisory stops that cycle — in 3–4 weeks.
We assess your analytics maturity within a chosen single functional area — Quote-to-Card, Card-to-Care, Care-to-Payment, or Shared Services — score where you stand, identify the data gaps and governance blind spots costing you the most, and deliver a prioritized 0–18 month roadmap with a clear platform recommendation across Microsoft Fabric, Databricks, or Snowflake on Azure.
A regional health plan engaged us before committing to a Fabric deployment. In 4 weeks, we identified $3.8M in annual claims leakage recovery potential as the highest-ROI starting point — and resequenced their roadmap to prioritize denial prediction quick wins in 45 days, ahead of any platform migration.
What You Walk Away With:
- Analytics Maturity Scorecard — scored across Ad Hoc, Defined, Measured, and Optimized
- Data Domain Gap Analysis — missing, duplicated, or ungoverned domains across claims, enrollment, clinical, actuarial, and financial data
- Use Case Prioritization Map — scored on business impact × implementation effort
- Platform Recommendation — Microsoft Fabric, Databricks, or Snowflake on Azure
- Prioritized 0–18 Month Roadmap — quick wins vs. strategic programs with investment ranges
- Executive Readout — tailored for CFO, CMO, Chief Actuary, or COO
Investment: $25K – $30K | Duration: 3–4 Weeks | Scope: Single Functional Area