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.
Data Mining is an essential process used to uncover patterns, correlations, and insights from large datasets. It plays a critical role in informed decision-making across diverse sectors.
Data Mining, by leveraging sophisticated algorithms and statistical models, helps organizations identify meaningful patterns within massive datasets. This process enhances predictive analysis, enabling companies to anticipate trends and customer behaviors effectively. It combines elements of machine...
This is an application I use for data prep, data exploration, BI reporting, and some basic automated analytics.
We use SAS Analytics in the area of Business Intelligence (BI), particularly for analyzing data and generating reports.
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 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.
Our primary use case is analytics and reporting in our production area.
We use this solution for CRM and retention marketing.