Data Strategy & Intelligence Readiness
Is our data ready for what we want to do next?
Make today's data decisions ready for what comes next.
Challenges
The situation
AI, modern analytics, and evolving clinical and operational needs are creating new uses for historical data that could not have been fully anticipated when earlier migration and retention decisions were made. Organizations in the middle of a migration face these questions prospectively. Organizations years past go-live are revisiting them for the first time.
What we do
Where SMA comes in
Data decisions made before, during, and after a migration shape what the organization can do for years. SMA helps executive teams determine what data should be preserved, where it must remain accessible, how it should be governed, and what it is fit to support across patient care, compliance, operations, analytics, research, and future intelligence.
Ready means trustworthy, accessible, understandable, governed, and fit for its intended use. We lead with the decisions and the intelligence they enable, not with data mechanics.
How the engagement runs
Assess → Act → Advance
Both fixed-fee and principal-led.
Migration Readiness, before or during a migration: provenance, completeness, accessibility, retention, quality, and fitness for use, decided before migration choices become costly or difficult to reverse; you leave with a readiness scorecard and the list of decisions to make before migration.
Post-Migration Value Revisit, for organizations past go-live: what exists, what it is fit for in today's AI and analytics environment, how it is governed (including who may access it), and where it creates new value; you leave with a data-asset value map, a governance and fitness read, and recommended next uses.
Each ends in a prioritized executive roadmap with clear decision leadership, answering the four questions every data strategy must answer: clinical accessibility, regulatory and legal retention, operational and analytical value, and AI and intelligence readiness.
A focused data-strategy implementation, or a connection into EHR Value Acceleration, AI & Technology Governance, or your own implementation pathway. Data strategy establishes the decisions and the guardrails; execution follows the path those decisions require.
Enterprise data decision strategy—not migration or conversion execution.
Preserved data ≠ usable, intelligence-ready data
Talk to Us
Start with the data question
Tell us where the organization is—before, during, or years past a migration—and what it wants the data to do next. We'll review it and follow up directly.
Talk to Us