Migration Comparison
Comparison logic and exception records for agreed legacy and target outputs.
At Review
Does the validation lead accept the differences before cut-over?
SAS / R / Python
Improve Clinical Statistical Programming Workflows.
Clinical statistical programming services for migration comparisons, editor automation, R integration and metadata lineage. Choose one package and receive source or configuration, test records and operating guidance for your programming team.
For Statistical programming leads and platform owners
The Engagement / Coding Operations
What Your Team Receives.
Choose one package. The services below can be commissioned separately. Agree the selected deliverables and review criteria in the scope.
Governed Editor Skills
Versioned capabilities, permissions, release records and a user guide.
At Review
Can the platform owner review every capability and write permission?
R Integration
Environment configuration, dependencies and qualification evidence where scoped.
At Review
Can the team reproduce the approved R environment?
Metadata Lineage
Documented relationships from source through transformation to output.
At Review
Can a programmer follow an agreed lineage question?
Clinical / Software Workflow
From Reviewed Code to Operational Insight
Open a program, inspect a proposed change and follow the result through execution, scheduling and a review portal. The controls below demonstrate the workflow without connecting to SAS or either Copilot service.
Select a step or use the controls inside the workspace. On a phone, swipe the workspace sideways to inspect its panels.
Watch the Recorded Workflow
Original INNOVIZZ interface simulation with on-screen explanation.
Technical Accuracy and Demonstration Limits
This illustration separates assistance, programmer review, SAS execution and output inspection. AVISITN=4 is a mapping in the sample specification, not a universal visit convention. The displayed output is illustrative and has not been calculated by a licensed SAS runtime in this lab.
Sources checked 24 October 2026: SAS developer documentation and community, Spotfire documentation and community, PHUSE 2026 papers. The registry-derived examples elsewhere on this site are explicitly separated from these simulations.
Workflow Transcript and Boundaries
- Open the versioned SAS program and configured profile.
- Inspect a GitHub Copilot or SAS Viya Copilot explanation as separate assistance options.
- Review the proposed diff against the specification.
- Submit reviewed code through the official SAS extension to Viya Compute.
- Inspect the log and synthetic output.
- Inspect the dependent job schedule and failure route.
- Review the workload queue and bounded node policy.
- Open the React portal and its illustrative embedded report.
Product features, permissions and licensing are confirmed for your deployment.
The Working Brief
Choose the Programming Work to Improve.
Select a package for migration comparisons, editor tools, R integration or metadata lineage.
01 Choose One Programming Operations Package
Migration Comparisons
Compare agreed datasets or outputs across legacy and target environments. Define keys, tolerances and expected differences first. Deliver the comparison code, run records and exception report for your validation lead to review before cut-over.
Editor Workflow Tools
Configure versioned tools for selected tasks such as job submission, log triage or output inventories. Define write permissions and approval gates. Deliver the repository, tests, user guide and release history for your platform owner.
R Integration
Connect the selected R workflows to your programming environment. Pin dependencies, document the configuration and test reproducibility. Qualification documentation and SAS-to-R comparisons are included where agreed with your validation team.
Metadata Lineage
Map supported dependencies from programs and metadata to datasets and outputs. Provide source references, extraction logic and a record of unresolved dependencies. Check sampled relationships against source before relying on impact reports.
02 Prepare for the First Package
Your Inputs
Provide the relevant program inventory, environment access, platform standards and a named acceptance owner. Select representative programs and failure cases for the first scope.
Acceptance and Operation
Agree what must pass, which exceptions need review and how changes will be approved. Handover includes source or configuration, evidence for the tested scope and an operating guide.
In Practice
Compare the Results That Matter.
Agree algorithms, input preparation, precision and tolerances for the comparison. Your validation lead reviews differences and accepts equivalence for the tested programs and outputs.
See TLF Quality ControlBefore You Commit
Choosing a Coding Operations Package.
Can We Commission One Package?
Yes. A migration comparison, R integration, editor workflow or lineage assessment can be scoped independently. Choose the task that is delaying your programming team.
What Does a Passing Comparison Establish?
It supports equivalence for the tested inputs, outputs and tolerances. Different algorithms, precision or preprocessing can require a reviewed exception; it is not a guarantee for future programs.
What Determines the Fee?
The program and environment inventory, integration dependencies, test scope and handover requirements. Agree those deliverables and milestones in the statement of work.
Clinical / Your Next Decision
Choose the Coding Operations Package.
Use the first conversation to separate a migration comparison from editor automation, R qualification or lineage work. Agree one package and its review criteria before expanding.
Built for Your Team to Operate.
Receive the agreed source or configuration, specifications, test records and operating handover. The statement of work identifies client-owned deliverables, existing INNOVIZZ methods, third-party licenses and support terms.