I am a user of SAS Viya Platform; the team I belong to is via analytics, and we are building for our internal service, analytics service, for our production.

Our usual use cases for SAS Viya Platform involve ordinary dashboards, presenting tasks, production figures, and a lot of production figures, flow rates and so on, and we also integrate short-time forecasting using the built-in functions in the dashboards.

We mostly use it for tables, charts, some forecasting, and as a data export function, allowing us to download data sets through SAS Viya Platform. Additionally, we use it for production planning, creating a custom-built application so that management can see dashboards with production planning overviews for various functions in our organization.

Since starting to work with SAS Viya Platform, the positive impact we have seen includes improvements in distributing data sets for better analytics and machine learning. The main benefit of using SAS is that we have one truth for analytics; we extract data from our handling system consistently, which leads to uniform results across different analyses. Before using SAS, various analysts provided different results on the same data, but now we have one truth which I believe is the main contribution along with an increase in the speed of feedback from our processes.

The features of SAS Viya Platform that I have found most valuable include its stability, reliability, and speed; it is a stable platform. The functionality is quite fragmented depending on what you have bought during setup, and the version we currently have is 3.5, but we are migrating to 4.0, I think. I believe the stability is crucial because if something goes down, the organization starts calling, so it is important that it is up and running, and I think the stability and speed are good from that perspective, even if it is a bit old.

I think SAS Viya Platform could be improved as it is a little bit limited; for instance, you have to purchase specific features such as charts and quality control, so it is not a full analytics product. You have to buy separate parts and it feels fragmented. In comparison, other packages I have used are more complete and less divided; SAS is quite divided, particularly with quality control, which used to be included, but now requires separate packages for control charts and so on.

I have been working with SAS Viya Platform since we were changing in 2019.

I think SAS Viya Platform is quite scalable and can handle large data volumes; we have a data store with close to 100 million rows in the databases, and we do not have any issues regarding scalability for presenting data.

Based on our interaction with technical support, I evaluate their services as professional and responsive; we have received help whenever we have asked, and their response time is quite fast. Currently, I have no problems, but while migrating, they are assisting us to ease the process.

We have integrated SAS Viya Platform with open source tools; we have built controls to integrate with our handling systems. The integration depends a bit on the version; I was not very happy with how it was done in 3.5 with the SWAT package, but I think it is better now in 4.0, especially concerning integration for R and Python.

Assessing the usability of SAS Viya Platform's data visualization tools for non-technical stakeholders, our group has not managed to train others effectively, as there is a gap; they must understand the data they are viewing. Data literacy is too low in our organization; they may know their part, but they need to filter and integrate the data. We keep it mainly in the analytics field to build reports. It is not self-service, and the users must know how to filter data and understand what they are doing.

We usually use classical metrics to evaluate the success of machine learning models on SAS Viya Platform, including logistic regression and tree models, focusing on recall, sensitivity, and specificity because relying solely on accuracy can be misleading with unbalanced groups. It is better to look at the groups individually. I give this review an overall rating of 7.

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.