Report

The Data Lakehouse: How Past Data Architectures Produced a New Paradigm

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The data lakehouse is the latest attempt to leverage the best aspects of relational data warehousing with modern data lakes.  
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July 20, 2022 – In the past, insurers have made missteps in conceptualizing data architectures and executing them. These missteps have been expensive and painful, but insurers’ interest in investing in data and analytics remains high. Recent advances in technology, driven by cloud hosting and cloud economics, enable the data lakehouse to emerge as a practical solution to meeting insurer data and analytics needs.

This Impact Report summarizes the state of data technology for insurance executives. This research draws from the expertise of Aite-Novarica Group’s staff, conversations with members of the Aite-Novarica Group Insurance Technology Research Council, learnings from Aite-Novarica Group’s data strategy engagements, and discussions with leading solution providers.

This 16-page Impact Report contains four figures and one table. Clients of Aite-Novarica Group’s Life, Annuities, & Benefits or Property & Casualty service can download this report and the corresponding charts.

About the Author

Eric Weisburg

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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Other Authors

Ashley Lee

Ashley Lee

Ashley Lee is a Senior Associate at Datos Insights. She works with senior team members to support consulting projects and create research reports. Prior to joining the firm, Ashley worked in management consulting and academic research. She has an M.A. in International Relations from the University of Chicago and a B.A. in East Asian Studies from Columbia University.

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