How does predictive modeling fit in with other technology that Aramark risk management is using?
When I was brought on board, I was given only one objective: to rank all Aramark locations by risk. We wanted our management teams, at all levels, to know which locations were more at-risk than others. We also wanted to use a model that could provide suggestions on how to mitigate that risk. The predictive modeling was an outgrowth of our original strategy. Q: So, that’s all a product of predictive modeling? A: Yes. Our team launched a new model based on a Bayesian logical model. The technology is provided by third-party vendor named Bayes. We had to do the following to prepare for a change in model: 1. Identify what information we needed to evaluate safety risks. 2. Determine who at Aramark should make the decisions regarding these incidents. For example, who can make the determination about what does and does not pose a significant risk? 3. Decide what the next steps should be once something is determined to be high risk. We were then able to create a severe case model so that all Ar
