M. Pamela Neely


This paper describes a decision support system (DSS) for use in allocating scarce resources associated with data quality efforts in the construction of a data warehouse. The DSS is populated with metadata from a data warehouse project, including tags that identify the quality at intersections of data field, data use, and data dimensions. The resulting DSS can then experiment using business students are then presented. It can be shown that, given the proper set of skills, business students, as proxies for novices on a data warehouse development team, can effectively use the tool to analyze and prioritize hundreds of potential fields in a data warehouse project.

Date of creation, presentation, or exhibit



Proceedings of the Eleventh Americas Conference on Information Systems Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Paper

Department, Program, or Center

Accounting (SCB)


RIT – Main Campus