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A Case Study to Improve Data Vendor Selection

A Case Study to Improve Data Vendor Selection
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Author(s): Rick McGraw (Black Oak Partners, LLC, USA)
Copyright: 2014
Pages: 15
Source title: Information Quality and Governance for Business Intelligence
Source Author(s)/Editor(s): William Yeoh (Deakin University, Australia), John R. Talburt (University of Arkansas at Little Rock, USA)and Yinle Zhou (IBM Corporation, USA)
DOI: 10.4018/978-1-4666-4892-0.ch016

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Abstract

All financial services companies use external sources of consumer income data to assess credit risk, develop risk mitigation strategies, and create pre-approved marketing offers. International credit card issuers spend more than a billion dollars in marketing and invest hundreds of millions in product development based on data from third party vendors. The accuracy of income data is the foundation for their business decisions. The purpose of this engagement was to evaluate the accuracy of third party data providers by measuring the data across six dimensions – Accuracy, Relevancy, Completeness, Coverage, Effectiveness, and Cost. The data provided by the three vendors for this project was incorrect by more than 20% on 75% of the records. The goal of the project was to demonstrate the ability to improve the accuracy of multi-source income data used in credit card marketing applications.

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