In the second of three posts on using automated analysis with SAS Visual Analytics, we used the automated analysis object to get a better understanding of our variable of interest, X-Sell and Up-sell Flag, and how it is influenced by other variables in our dataset. In this third and final
In the first of three posts on using automated analysis with SAS Visual Analytics, we explored a typical visualization designed to give telco customer care workers guidance on customers most receptive to upgrade their plans. While the analysis provided some insight, it lacked analytical depth -- and that increases the risk of wasting time, energy and
You're the operations director for a major telco's contact center. Your customer-care workers enjoy solving problems. Turning irate callers into fans makes their day. They also hate flying blind. They've been begging you for deeper insight into customer data to better serve their callers. They want to know which customers
Self-service BI applications make gaining insights and decision making faster. But they've also generated a greater need for governance, including understanding the data lifecycle. You can find out where your data comes from with SAS Lineage Viewer. The post tells you how.
As a resident of Northern California, I was interested in learning more about the causes of wildfires. My area has recently experienced large fires that caused many residents to evacuate their homes and some who have even lost their lives. Last October there were more than 170 fires that burned
Interactive reports with SAS Visual Analytics allow you to access the interface and product instantly. Simply choose a report to navigate and explore in our SAS Visual Analytics 8.2 viewer. There are reports for warranty analysis, retail insights, water consumption and quality, banking and risk and network performance.