SAS to Open Source Migration in the Data-Driven Era
The analytic landscape has altered considerably in recent years – more complex algorithms are being used more often, by more people via the utilisation of open source languages..
One factor feeding into this, is the ability for teams to access very large data sources across different areas of the organisation – and with most universities having adopted R and Python as their primary analytical programming language for mathematics and statistics courses, companies recruiting a new graduate can’t now expect them to have SAS skills.
Ultimately, businesses are looking to get one step ahead of their competition by utilising the latest and greatest algorithms – which is available instantly via open source, as opposed to having to wait for the next SAS release.
Join our webinar as Chief Data Scientist, Rich Pugh guides you through the ‘how’s’ and ‘why’s’ of migrating from SAS to open source languages.