The old adage is that “Data is the lifeblood of the insurance industry.” However, for many insurance companies, data is like the red-headed stepchild. No one is willing to take care or have responsibility for it. In the past, insurance companies have created data governance programs, but these have often
When I saw Robert Kosoro's cool ZIPScribble map, I knew I had to create a SAS version - and of course I had to add a few enhancements along the way.... I was perusing some of the examples on dadaviz.com, and Kosoro's ZIPScribble map caught my attention. It wasn't a particularly useful
One of the common traps I see data quality analysts falling into is measuring data quality in a uniform way across the entire data landscape. For example, you may have a transactional dataset that has hundreds of records with missing values or badly entered formats. In contrast, you may have
