The use of SAS software in risk operations has been so successful that the number of users in that group has gone from two or three in 1998 to almost 25 employees who now use SAS software on mainframe and PC platforms. Accurate and Efficient Decision Making Kuzio says gaining independent access to data has added to the accuracy of the decisions made by the risk operations group. We can check the accuracy of the data much, much better and more quickly than IS when we know the variables and the elements. And as we go through the data pooling, we can change our rationale or change our relationship with the data. The risk operations group now uses SAS software in many ways to review their check-acceptance processes.
Employees can use data mining to predict what types of checks to accept in certain situations.
Or they can look at acceptance records for individual retailers and tailor their decisions to that client's history. Kuzio now feels there are few limits to the ways he can report on this data. We want to make check acceptance at the point of sale relatively seamless, so that we have the lowest level of interruption possible while still identifying high-risk conditions and fraudulent check writers. Variables to be considered for check acceptance include the location of the retailer, the age of the consumer, the product that is being purchased, and even the day of the week. All of these variables are critical to our decisions.