Our use case involves leveraging SAS Analytics to support experts in various departments such as collections and customer analysis.

Our number one use case for SAS Analytics is data analytics. We have about 50 data analysts on our team who are currently using it day in and day out.

We use SAS Analytics in the area of Business Intelligence (BI), particularly for analyzing data and generating reports.

We use SAS Analytics for all data analysis, quick exploratory data analysis, statistical analysis, predictive modeling, and rapid data management in risk analytics. Predominantly, we're using risk analytics, but I plan to extend it to marketing and other departments as well.

The primary focus here is risk analytics and portfolio management in this organization. But in the past, I have used it in various industries for numerous use cases like demand forecasting, inventory management, customer relationship management, strategic analytics, M&A, HR analytics, business intelligence, and analytical data marts.

I have also used SAS extensively for developing risk scoring models, model risk management, collection analytics, and marketing analytics very effectively for banking and financial services.

This is an application I use for data prep, data exploration, BI reporting, and some basic automated analytics.

Our primary use case is analytics and reporting in our production area.

The primary use of SAS Analytics in my area is mostly of statistical modeling, such as logistic regression, survival analysis, and longitudinal analysis as well as producing tabular summary results.

We use this solution for CRM and retention marketing.

I use SAS daily to analyze data, produce reports, and other outputs. I also use it to replicate our entire financial system to verify/duplicate calculations.

Setting national auto insurance rates based on predictive analytics. SAS Analytics supported all data cleaning, historical data maintenance, summary analytics, predictive analytics, and scoring needs.

Mostly used for quantitative analyses which include descriptive and inferential statistics. It is also used for generating reports and summary statistics of findings.