Session Outline
The SAS language remains a staple of the data science ecosystem and organizations continue to rely on it for a host of business-critical applications. However, there has been an explosion of open-source tools like Python and R which offer increased flexibility and productivity and are preferred by the new generation of data scientists. How do organizations realize the benefits of their legacy investments in the SAS language whilst also reaping the full benefits of open-source languages?
Key Takeaways:
- Use SAS language code with open-source tools without re-writing existing code
- Develop more agile analytics strategies and use the skills of today’s talented and diverse workforce
- Develop strategies to support the demand for faster, more efficient analytics deployments
Add comment