Previously in our ledger, we could see if our total losses were up or down, but we didn’t know why. Now with the metrics we load into Workday Prism Analytics, we can see whether any fluctuation in losses are related to specific factors, and we can get these insights the same day.
For example, if losses are up, we can see if they’re related to a frequency severity: For every 100 policies, how many claims do we have? Is that higher or lower than we expected it to be for this year? Are the claims for weather or non-weather events? What is the severity per claim? In other words, how much does each claim cost? Once we have these answers, we can better explain why we’re experiencing gains or losses.
We can also examine data by state, or by line of business, and delve into the details. In addition, we’ve loaded data into Workday Prism Analytics related to policy retention across the company, and gotten insights into how it compares to our estimates, how it compares by state, and which product lines are doing well.
And we can also load in mass quantities of data and capture information that we don’t want in our ledger. For example, we would not want to have every single claim number in the ledger. However, with Workday Prism Analytics, we have the opportunity to store it here and if it is needed, we can provide the information without having to rely on IT.