Assistant Manager Data Analytics (WFM) at Johari Digital Healthcare Limited
Real User
Top 20
Mar 21, 2026
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.
Director, Lead, Ri Technical Solutions at a insurance company with 10,001+ employees
Real User
Top 10
Dec 2, 2025
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.
Data Integration facilitates the combination of data from diverse sources into a unified view, crucial for businesses to make informed decisions and enhance operational efficiency. With comprehensive solutions available, organizations can streamline their data workflows. Data Integration solutions are vital for businesses aiming to handle large volumes of data efficiently. These solutions help in synchronizing data from multiple sources, ensuring consistent data across platforms, and...
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.