October 2019 – Data governance is becoming a more prominent concern as more organizations use data for automated processes, analytics, and business intelligence. Increasing regulation around data privacy and usage also requires carriers to be organized and knowledgeable about their data to comply with legislation without hindering the pace of innovation projects. A data governance program brings together roles and responsibilities to focus on managing data quality for the organization.
This brief outlines the business drivers, best practices, and benefits of a data governance program, along with common challenges that insurers may face in their efforts.
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...
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Martin Higgins
Martin Higgins is a Senior Principal at Datos Insights. He has over two decades of experience working in insurance technology, having served as Practice Director for Edgewater Consulting, where he was responsible for the company’s property and casualty business nationwide. He has expertise in technology strategy, core system selection and implementation, Agile transformation and DevOps, business intelligence, systems integration, legacy...
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