Crawford ' s Industry-leading data and analytics program
Crawford ' s Industry-leading data and analytics program
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“ I communicate to them what our strategic objectives are ,” Raedeke continues , “ but then I allow them to select opportunities within that and then align the KPIs they ’ ve selected with client objectives .” This front-line ownership allows for the discovery and evolution of features that are immediately relevant to the client and end-user .
An example of insight uncovered by the squad-based approach relates to the incorporation of predictive scores within the claim process . Raedeke says , “ Some organisations incorporate predictive models and AI by attempting to change the nature of the work of the end-user , but an adjuster shouldn ’ t need to become a data analyst in order to engage with benefits of data science . In my view , AI should be happening somewhat behind the scenes , or at least in a way that ’ s curated . Our teams have discovered how to optimise the decisions in the claim process without requiring the end-user to become a data analyst him or herself .”
It ’ s an approach which truly highlights the emphasis that Broadspire
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