Overview
skyMDM (Master Data Management) provides AI-driven match, merge, dedupe, and real-time 360° data, creating a single source of truth across your healthcare organization.
A configurable seven-stage pipeline (Connect, Clean, Validate, Enrich, Map, Match, Merge) runs inside your own Databricks, Snowflake, or Microsoft Fabric warehouse, so records never leave your environment.
Key Capabilities
Identifies and links related records across systems
Consolidates duplicates while preserving data integrity
Up-to-date view of patients, providers, and other entities
Every stage runs in your own warehouse
Low-confidence clusters go to a Review Queue to approve, reject, or split
Each match shows agreeing attributes and how its score was calculated
Features
Identity Resolution
Machine learning matches records across systems to build accurate golden records, even when data quality varies.
Multi-Engine Support
Define connections, rules, match configuration, and survivorship once; they run natively on Databricks, Snowflake, or Microsoft Fabric and write results back to your catalog.
Generational suffixes are respected, so records for a Jr. and a Sr. at the same address are never merged automatically.
Survivorship Rules
Customizable rules decide which values survive a merge: by source priority, the most recently updated value, or the value from the highest-scoring match.
Real-Time Updates
Master data stays synchronized as source systems change.
Data Lineage
Track every data point's origin and transformation for full auditability.
Role-Based Access Control (RBAC)
Fine-grained roles aligned with the Skypoint suite; viewers get role-appropriate Platform Settings visibility while admins control Profiles, Merge, and the Review Queue.
Tenants, Instances, and User Access
Tenants hold isolated instances such as production and staging, with roles assigned per tenant or instance. Admins invite, change, block, or remove users, and organization admins can block a person across every instance in the organization, including instances added later. Every change is audit-logged, and audit search covers the full history by action or user.
Service Accounts
Administrators create service accounts that give approved systems a secure, governed connection to skyMDM, so integrations automate stewardship without using a person's sign-in.
Standardized Match & Merge Experience
Match and Merge run from action menus with a grid-based stage table and consistent job status.
Live Run Monitoring
Each stage shows live progress, who triggered it, duration, and row counts. Stewards can cancel jobs and review history; stalled jobs are reconciled automatically.
Scheduled Stewardship Runs
Chain Clean, Validate, Enrich, Map, Match, and Merge into one schedule that runs hourly, daily, weekly, monthly, or on a custom cadence, with a preview of upcoming runs and step-by-step history. A schedule pauses itself after repeated failures and sends an email.
Batch Runs
Select several source tables or profiles and run a stage for all of them in one action, with queued concurrency, a progress panel, cancellation, and "Partially succeeded" reporting.
Notifications
Instance admins enable per-stage job-completion emails with status, row counts, and duration; failure emails omit data values.
Profiles and Dashboard
Profiles presents golden records as a searchable 360° view, and the dashboard scopes metrics to the selected MDM profile.
Operational Diagnostics
Searchable correlation IDs, telemetry, and actionable error messages help stewards resolve issues without escalating.
Help & Support
Submit, track, and resolve issues from inside skyMDM.
Branding & UI Consistency
Branded screens, light and dark themes, and the shared Skypoint app switcher for moving across the suite without signing in again.
Use Cases
- Patient Matching: Accurate identities across EHRs, claims, and operational systems
- Provider Data Management: Accurate provider directories and credentialing
- Member 360: Complete health plan member views across enrollment, claims, and engagement
- Facility Management: Consolidated facility and location data