AI-assisted data analysisSAS Viya: uses, limits and practical trial
SAS Viya combines data, analytics, models and decision deployment with AI lifecycle management and governance features.
Sources consulted on · SAS
Directory facts
- Publisher / organisation
- SAS
- Primary use
- AI-assisted data analysis
- Related directory
- Explore this family’s services
Suitable tasks
Put an analysis or model into a process whose rules must remain explainable.
Limits and checks
Explainability features do not certify that a decision is correct. Check data, business rule and model version together.
A repeatable trial
On a non-sensitive fictional case, define a decision rule and an exception. Change model version and check outcome, explanation and exception handling.
How to decide
Keep the workflow when model and rule are identified and changes can be reviewed.
Frequently asked questions
Does deploying a model suffice to deploy a decision?
No. Also document rules, thresholds, exceptions and approval responsibility.
Official documentation and scope
Functions are described from documentation. Proposed trials are editorial advice, not executed benchmarks. Check prices, quotas, access and conditions before choosing.
Consultation covers identification and described functions; performance and all contractual conditions were not tested.
Alternatives and related reading
- IBM watsonx
- Mosaic AI
- Snowflake Cortex AI
- Red Hat AI
- NVIDIA NIM
- Glean
- Dataiku
- UiPath
- DataRobot
- AWS Bedrock
- Copilot Studio
- Microsoft Foundry
- Gemini Enterprise Agent Platform
- Cohere
- Cloud and enterprise AI: compare beyond the demo
- Using AI with confidential data: essential controls
- Evaluate and compare AI tools with a reproducible test
- Build a reliable, citable RAG knowledge base
- Compare by output and actual cost