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.)