GE's Energy Rentals Business Automates Its Credit Assessment Process
Srinivas Bollapragada (),
Prasanthi Ganti (),
Mark Osborn (),
James Quaile () and
Kannan Ramanathan ()
Additional contact information
Srinivas Bollapragada: General Electric Global Research Center, 1 Research Circle, Schenectady, New York 12309
Prasanthi Ganti: General Electric Global Research Center, 1 Research Circle, Schenectady, New York 12309
Mark Osborn: General Electric Global Research Center, 1 Research Circle, Schenectady, New York 12309
James Quaile: General Electric Global Research Center, 1 Research Circle, Schenectady, New York 12309
Kannan Ramanathan: General Electric Global Research Center, 1 Research Circle, Schenectady, New York 12309
Interfaces, 2003, vol. 33, issue 5, 45-56
Abstract:
GE Energy Rentals, a business unit of General Electric Power Systems (GEPS), uses an automated Web-based application to assess customers' credit worthiness. GE's Global Research Center developed the system using quantitative business modeling and decision-support-system design. The system uses a model for credit decisions that captures the thought process expert credit analysts use to assign credit lines to customers. In addition, the system provides users with the analytics and reasons underlying credit decisions. It has enhanced productivity and efficiency by speeding up credit approvals. In addition, by providing a standard platform for credit approvals, it ensures consistency in the process of assessing and approving credit. The system has decreased costs by eliminating a credit-analyst position despite growth in the business and has also saved over 60 percent of the costs per credit decision. We are adapting this approach for other GEPS business units.
Keywords: Information; systems:; decision; support; systems.; Decision; analysis:; risk. (search for similar items in EconPapers)
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:33:y:2003:i:5:p:45-56
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