sas logo

SAS® Viya® Trial Productivity Guides

Try out a more productive data and AI platform

A recent study by The Futurum Group proved that SAS Viya increases data and AI team productivity by 4.6x. Want to see for yourself? You can use the same data sets and follow the exact same steps from the study in your free trial.

Get the free trial guides
Group of coworkers looking at a laptop and discussing what is on the screen

The study

Independent research firm The Futurum Group conducted an in-depth analysis of three distinct data and AI platforms to measure their impact on productivity throughout the data and AI life cycle – SAS Viya, a leading commercial platform and a non-commercial open source approach.

The evaluation was achieved by completing an end-to-end customer churn prediction analysis, a common use case relevant to many industries, in each environment. Testing was completed by three Futurum Group analysts designated to specific personas – a Data Engineer, a Data Scientist and an MLOps Engineer – responsible for completing tasks aligned with the three phases of the data and AI life cycle.

Additionally, a fourth analyst evaluated each platform via a Business Analyst persona to measure if tasks were achievable by a non-technical resource. The study measured the time to complete each task as well as complexity.
 

Read more about the study

  • 4.25x

    More productive vs. the commercial platform

  • 5x

    More productive vs. the non-commercial platform

  • 4.6x

    More productive on average

    Experience it for yourself

    1

    Sign up

    Sign up for a free 14-day trial if you haven’t already. You’ll experience all the capabilities of SAS Viya Enterprise – plus, you can invite your team with up to four additional users. The same data sets used in the study are pre-loaded into your trial environment.

    Get the free trial

    2

    Get the guides

    The guides below will take you through the entire data and AI life cycle used in the study. The steps were performed by a Data Engineer persona, a Data Scientist persona and an MLOps Engineer persona, respectively, in the study.

    But if you’re not super technical, don’t let that stop you. The study showed that all steps in Viya could be achieved with zero coding requirements and 86% of tasks could be conducted by a Business Analyst. You’ll be able to handle it.

    Manage Data Guide

    Start here! Or you can skip ahead to Develop Models if that’s more your style. The Data Engineer persona was tasked with evaluating and preparing the raw data into an analytical base table that could then be utilized by the Data Scientist.

    Download guide

    Develop Models Guide

    Want to keep going? The second portion of the data and AI life cycle evaluation was undertaken by the Data Scientist persona, who explored the data set prepared by the Data Engineer and utilized it to build a model to predict customer churn.

    Download guide

    Deploy Insights Guide

    You’ll be a Viya pro by the time you finish this one. The role of the MLOps Engineer persona was to deploy the model and maintain its performance over time. Note that the Develop Models steps must be done before Deploy Insights.

    Download guide

    3

    Take Viya for a spin!

    Now for the fun part. Open up your trial environment from the link in your welcome email after registering, follow the guide steps to replicate the study and see for yourself just how productive you can be with SAS Viya.