How Panintelligence works with Mulberry Risk
Mulberry Risks actuarial modelling, run by Ada on the back end, is what their clients really value. Before using Panintelligence, they were making custom reports from client to client. Now with Panintelligence, they've been able to build a set of dashboards and layouts on top of the data that the Ada actuarial modelling has produced. This embedded dashboard is consistent from client to client and is highly secure – clients can only see their data when viewing their analytical output.
Mulberry Risk's data might show MGAs their income from insurance policies and how much is paid out in claims. Their tool helps apply a set of assumptions or patterns learned over time through larger quantities of data in a particular industry sector. They can show their clients that, to date, this is how much this specific segment of your book has lost, and this is the prediction of what that loss will look like if you continue to underwrite that policy in the same way.
Using Panintelligence, Mulberry Risk's clients can look at how that prediction might change. A client can look at the high-level view of the whole business, and they can drill back into these different segments. Through the Ada data pathway, they can go from seeing the current performance of their business to making predictions of how their business will perform in the future.
Clients can drill back into the distinct segments that make up that business and question and query numbers. So if they see a loss in a year or month that looks particularly large, using the drill-back functionality, they can go back into the raw data to see detail on where that loss is coming from.
