June 2020 – This CIO Checklist proposes a structured approach for insurers to be more efficient in third-party dataset evaluation. Third-party data (3PD) is growing in popularity among insurers. It can provide critical support to the digital and analytical initiatives that insurers are prioritizing across the value chain. The 3PD space is crowded with solution providers who offer varying levels of data quality and completeness. The process of testing that data in a use case can be time- and resource-intensive.
A structured approach reveals easy-to-spot showstoppers early in the process. Back-ending the actual data quality and analytic uplift assessment can avoid wasted efforts, conserve resources, and accelerate the use of 3PD.
About the Author
Eric Weisburg
Eric Weisburg is a Senior Principal at Datos Insights. His expertise lies in insurance technology, data, and analytics, and distribution, underwriting, and finance. Eric has over 20 years of LAB and P/C insurance industry, consulting, and IT experience. Prior to Datos Insights, Eric served as Managing Vice President of Strategic Initiatives at Tower Group Companies and VP at AIG, where he...