A Clearer View of Where Complexity Lies
An understanding of the factors that commonly make SAS modernization difficult, such as macro usage, procedural logic, and cross-pipeline dependencies, applied to your context.
Understanding the Complexity of Your SAS Estate Before Migration
Most organizations can migrate a limited number of SAS programs.
Scaling that effort across hundreds of interconnected pipelines is where most programs slow down.
This is typically not due to tooling limitations, but due to lack of visibility into the structure, dependencies, and complexity of the existing SAS estate.
At the Databricks Data + AI Summit 2026, LTM is offering a 4-hour working session to help organizations better understand these factors before initiating a migration to PySpark on Databricks.
The Challenge
SAS modernization programs often slow down or fail, not because of lack of tools, but due to hidden complexity within the existing environment.
Organizations typically face:
- Limited visibility into scale and structure of SAS codebases
- Heavy use of macros, PROC logic, and procedural patterns
- Hidden dependencies and tightly coupled pipelines
- Significant reuse, duplication, and undocumented logic
- Uncertainty around:
- What can be automatically converted
- What must be re-engineered
As a result:
- Pilots succeed, but programs stall at scale
- Timelines and effort are consistently underestimated
- Migration quality becomes unpredictable
Our Approach
The SAS Migration Modernization Workshop is a focused, tool-informed working session with LTM’s SAS migration specialists.
In this 4-hour session, we apply insights from our previous experiences to:
This is not a generic advisory session, it is a deep, structured working session grounded in real migration programs.
Break down the complexity of your SAS estate
Highlight migration risks and bottlenecks
Provide realistic, experience-backed guidance on modernization
What You Will Gain
Early Identification of Likely Risk Areas
Visibility into areas that are most likely to impact migration effort, including:
- Non-trivial transformation patterns
- High dependency zones
- Workloads that may require redesign
A Practical Way to Segment Workloads
A structured approach to thinking about SAS workloads in terms of:
- Conversion feasibility
- Complexity
- Risk
This helps move from a flat codebase view to a prioritized migration perspective.
Alignment on a Realistic Migration Approach
Clarity on how to structure a modernization program, including:
- Where to begin
- How to sequence workloads
- What to avoid in early phases
Better Preparedness for Deeper Assessment or Execution
A more informed view of:
- What inputs are needed for a full assessment
- How to scope an initial pilot or domain-level migration
Who Should Participate
This workshop is most relevant for organizations where SAS modernization is actively being considered or has already started but faces challenges at scale.
Relevant stakeholders include
Limited Summit Offer
At the Databricks Data + AI Summit 2026, LTM is offering this free workshop for a limited number of qualified organizations.
Pre-work is required to ensure meaningful outcomes.
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