Data Scientists Doing Data Science, not ETL – Imagine that!

As a Data Scientist, you’re most likely extremely proficient in Python, R and other coding skills, and they have always done the trick for you. So why bother with an analytics solution? Productivity, flexibility, efficiency and faster results. That’s why.

The reality is regardless of your skills, you’re most likely spending hours on ETL, workflow management, and production deployment, all of which are not really the core of a Data Scientist’s work.

Watch Data Engineers, and analytic experts from Alteryx. We won’t bore you with the 101 of analytic models; instead, we’ll show you how to:

Speed up the pre-modeling data ETL stages

Increase productivity in the modeling stages

Enhance your value to the organisation in post-modelling and production stages

The role of a data scientist puts you at the center of deriving value for the organisation with some of the most sought after and precious resources in the organisation.

Watch now how a solution like Alteryx can deliver performance enhancing efficiencies in your work, and help you put the ‘Science’ back into ‘Data Science’.

Watch Now

On-Demand Webinar


Ulrich Bombka

Ulrich Bombka
Data Engineers