What are some common challenges faced by SAS R professionals when working on cross-functional analytics projects?

SAS programmers often collaborate with teams from data science, business analytics, and IT, which can present challenges such as aligning on data definitions, managing varying data sources, and ensuring clear communication of technical findings to non-technical stakeholders. Additionally, adapting SAS code to integrate with other platforms or tools (like Python or SQL databases) may require extra effort. Being proactive in clarifying project requirements and maintaining transparent documentation helps smooth these collaborative processes and ensures project success.