The ability of insurers to transform their raw data into knowledge is critical to their survival; yet, despite this imperative, many data warehousing efforts have been postponed and others have failed, according to a recent Conning and Company study. In the study “Data Warehousing and Data Mining in the Insurance Industry: Floods of Information, Fountains of Knowledge,” Conning found that organizational issues tend to discourage data warehouse development because many employees view the widespread sharing of horizontal data as a threat to their job status. Conning emphasizes that data warehouse implementation requires a close partnership between a company’s business and IT leaders. It is a complex effort that requires a number of complementary skill sets (i.e., data modeling and programming skills).
Was this article valuable?
Here are more articles you may enjoy.
How One Fla. Insurance Agent Allegedly Used Another’s License to Swipe Commissions
Experian Launches Insurance Marketplace App on ChatGPT
‘Structural Shift’ Occurring in California Surplus Lines
AIG Underwriting Income Up 48% in Q4 on North America Commercial 


