What is your primary use case for SAS Viya Platform?

I have used SAS Viya Platform for almost three years in various ways, including preparing data, using it, generating extracts, and sending them through email to users. We also built an internal dashboard specifically on SAS Viya Platform, and we mainly use it for usage metrics and many other KPIs that users follow. We have developed and shared many dashboards across teams. We had two main use cases with SAS Viya Platform. The first was direct reporting to users, where we extracted data from SQL Server as well as Snowflake. We prepared the final report based on SAS Viya Platform using its capabilities and then generated Excel files to send to users' emails. This scenario proved to be very good and efficient in two ways: preparing data and performing many transformations using SAS capabilities, plus sending it in Excel format, which is very rare and difficult to achieve through Power BI, Tableau, or any other reporting tool. We found it critical to use for this purpose. The second scenario involved building reports for users where we used many different types of data sources that were difficult to consolidate in a way that served reporting purposes across various fields. Data came from different sources depending on the nature of the requirements: some from transaction systems, some from data warehousing, and some from portals. We had to consolidate all of these to create analytics and decision-making reports for users. We found this very useful. It was good in that whatever we needed to prepare, we could prepare it, save it, and use it multiple times. This self-service capability allowed us to develop and prepare data once and then utilize it in multiple reports, which was very beneficial. Where we struggle and where improvement is needed is in how we can make report calculations more feasible for different kinds of calculations. If we can improve there, along with the setting of the UI, placing elements exactly where we want, and utilizing the entire canvas, that would be valuable. I found it difficult to customize or prepare reports on the reporting side with SAS Viya Platform. Additionally, nowadays there are many AI capabilities that could be built in. I would expect that if those could be integrated into the existing SAS Viya Platform, it would be a really good tool to use. Any core complex tasks, calculations on-the-fly, and many source integrations needed with SAS Viya Platform are very manageable, and specifically SQL-based tasks can be done through SAS Viya Platform. This can also be shared across with SAS Viya Platform reporting tool. In that way, it is a really good tool.

SAS Viya Platform has two main use cases in my organization. The first is SAS Visual Investigator for creating fraud alerts, and the second is SAS Visual Analytics for creating reports and dashboards. In my use case for SAS Viya Platform, I employ two methods: batch scoring alerts and real-time alerts. In batch scoring alerts, I use the SAS BI tool from the 9.4 SAS application, which generates and scores for the alert and threshold. Based on the threshold, I create and push this alert to SAS Viya Platform via an indexing job using PROC HTTP, and then the investigator uses it. In the case of real-time alerts, they go directly via the SAS ESP product and use other tools such as Kafka.

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.

My main use cases are data analytics, reporting, and data transformation. It helps in handling large data sets efficiently using CAS, which is an in-memory processing engine. My primary use case is to analyze large-scale data and generate actionable insights. In a recent project, I used SAS Viya Platform to analyze sales performance data. I first performed data preparation and transformation to clean and structure raw data from multiple sources. Then I leveraged CAS for fast in-memory processing of large data sets. After that, I built an interactive dashboard in Visual Analytics to track KPIs such as revenue, growth, and regional performance. On a day-to-day basis, I use SAS Viya Platform mainly for data preparation, analysis, and reporting. I regularly work on data cleaning and transformation to make data sets analysis-ready. I also monitor data refreshes and validate data accuracy to ensure reliable reporting. Based on that, I update dashboards or create new reports in Visual Analytics.

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.