Computer System

Making the Transition from Legacy Systems to Modern Analytics Platforms

Tuesday, October 18 | 10am (New York) | 3pm (London) | 4pm (Frankfurt)

For 40+ years, global organizations have used the SAS language to build assets for revenue forecasts, customer retention, chemical compound discovery, and enterprise risk analysis.

As analytical technology and employee skills and abilities continue to evolve, businesses are increasingly seeking to add modern programming languages (Python, R, etc.) into model development.

You, too, have a choice when deploying SAS language models. Join us for this 30-minute webinar to understand:
  • What a transition away from legacy systems looks like and the benefits it can offer (e.g. rapid scalability and resource elasticity).

  • How to easily include modern programming languages in models for swift deployment and remove frustrating DevOps blocks.

  • How to optimize legacy-system investments with the best of what modern analytics can offer your business.

Live audio translation will be available in - French, German, Italian, and Hebrew.




  Randy Headshot-1   Oliver Plaistowe-1  


Randy Betancourt

Sr. Director,

Solutions Specialist


Oliver Plaistowe

Sr. Vice President,

Enterprise Data Transformation



Randy has traveled the globe meeting with business leaders and end users on their key data analytics challenges, shaping his understanding of resource elasticity for data collection, analysis, and model deployment at organizations such as the US Environmental Protection Agency, Duke University, SAS Institute, International Institute for Analytics, Microsoft, and Accenture.



Oliver's predictive analytics experience spans more than a decade, working with digital executives at the world's largest organizations. Oliver spent years developing an analytics practice that expanded beyond predictive modelling through to end-to-end data solutions to help business leaders make smarter decisions with their data.



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