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Making the Transition to Modern Analytics Platforms

For 40+ years, global organizations have built analytics applications for revenue forecasts, customer retention, chemical compound discovery, and enterprise risk analysis. SAS language is often a key technology.

As analytics technology and employee skills continue to evolve, organizations are looking to add modern programming languages (Python, R, etc.)

You now have a choice for your SAS language applications. Watch this 30-minute webinar to understand:

What a transition to modern systems looks like and the benefits it can offer (scalability, elasticity, availability)
How to include modern programming languages and what the benefits are
How to optimize legacy-system investments vs emerging tech - you don't have to throw away what you have built

	Speakers

	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.