My main use case for SAS Viya Platform is analytics on risk adjustment in the healthcare field.

One of the specific examples of how I use SAS Viya Platform for risk adjustment analytics in healthcare is to determine the population of members that are more likely to not get an annual visit with their primary care physician. That is one of the use cases and how we follow up with them. This is also used in a predictive analytics sense where we need to provide and generate a list of members for whom we have to chase and get an EMR or a chart. So mostly in the predictive analytics area.

The best features that SAS Viya Platform offers are the easy visualization of the results, which stands out for me, and also the ease of using the AI agents to describe the problem and come up with the solution.

The visualization and AI agent features of SAS Viya Platform help me in my day-to-day work. For example, one aspect of the visualization is how by looking at the graphs, you can determine which area, such as the plan area in the healthcare insurance field, we need to focus on and where we are falling short. It is easily visualized, mostly for the marketing team in the provider area that needs to concentrate there.

SAS Viya Platform has positively impacted my organization. Previously, the team had SAS developers and the data was fed into a different visualization tool such as Tableau or Power BI. This eliminates the need for that.

Eliminating the need for separate visualization tools has greatly affected my team's workflow because it is just one integrated tool, one integrated platform. You do not have to worry about the connections to Tableau, generating the output, and if there is an issue with a live connection on Tableau, then the visualization does not show up, and that is the end of it. We would need to wait for a resolution from another team, and this eliminates the need for that.

I cannot think of any improvements for SAS Viya Platform from the top of my head, although users might have suggestions.

I would add that some users need more training in SAS and SAS Viya Platform. An AI assist, such as a live assist, would be helpful for them.

I have been using SAS Viya Platform for three years.

SAS Viya Platform is stable.

The scalability of SAS Viya Platform is pretty good. We have seen that it has been scalable, especially because with each year, there is an increasing number of members in the healthcare insurance, and with the member increase, you are also going to see the claim population increase. We have not had a problem, and it is because it is on the cloud, it scales quite well.

Apart from the initial setup, we have not used customer support a lot, but it was pretty good.

I previously used a different solution before SAS Viya Platform. It was legacy systems, SAS on Unix, and then Tableau.

My experience with pricing, setup cost, and licensing for SAS Viya Platform was smooth. I did not have any hiccups, and I do not have a say on the pricing.

I have seen a return on investment with SAS Viya Platform in the form of money saved, as this is scalable and on the cloud, whereas previously we had to pay for space and on-premises servers.

My experience with pricing, setup cost, and licensing for SAS Viya Platform was smooth. I did not have any hiccups, and I do not have a say on the pricing.

Before choosing SAS Viya Platform, I did evaluate other options, but it was not a total solution. It involved a process where part of the development had to be done on AWS, PySpark coding, and then the results were imported into one of the visualization tools such as Quicksight or Tableau.

I would advise others looking into using SAS Viya Platform to go ahead if their budget allows. I have rated this product an eight out of ten.