Deploying an Alternative SAS Language Environment

Join the 2-part webinar series on transforming SAS language, Python, and other modern language technologies into single-platform, no and low-code analytics

In this webinar series, we will cover:

  • How to overcome licensing challenges by running critical SAS language programs alongside Open Source languages in a single platform
  • Developing end-to-end analytics workflows from siloed data processes
  • Reducing DevOps bottlenecks with assisted redeployment through API use
  • A technical demo with common use cases to illustrate what a transition involves
  • The potential to make significant cost savings by switching to our SAS language compiler and by making use of our unique software licensing system: Altair Units
  • Build & Run SAS Language Programs Independently: An Introduction to Altair Analytics Workbench, Analytics Hub, and Analytics Engine

    Tuesday, June 7

  • Identify your team’s data needs and gaps currently preventing seamless, end-to-end analytics
  • Find out how other organizations made the switch to a strategic modern platform and saved costs and resources and preserved existing SAS language investments
  • Learn about how SAS language program capabilities fit into Altair Data Analytics
  • Establish Better, Safer, Higher-Value End-to-End Analytics: A 2-part Technical Demo and Panel Discussion

    Wednesday, June 15
    Part 1: Uncover business use cases and common implementation journeys, including

  • Successfully integrating SAS language programs into teams with users of varying skill sets, leveraging drag-and-drop coding or Open Source languages (R, Python, etc.)
  • Governing and centralizing access and credentials for siloed data programs and workflows
  • Deploying end-to-end analytics for on-demand analysis, scheduling, pipelining, and more
  • Help teams using different technologies to collaborate, make best use of all available technologies
  • Part 2: Understand how your team can take action to reduce costs and drive data workflow efficiencies