Guidelines for setting organizational policies for data quality

Rajiv Dewan, Veda Storey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

From a process perspective, the tasks that individuals carry out within an organization are linked. These linkages are often documented as process flow diagrams that connect the data inputs and outputs of individuals. In such a connected setting, the differences among individuals in preference for data attributes such as timeliness, accuracy, etc., can cause data quality problems. For example, individuals at the head of a process flow may bear all the cost of capturing high quality data but may not receive all of the benefits although the rest of the organization benefits from their diligence. Consequently, these individuals, in absence of any managerial intervention, may not invest enough in data quality. In this research, solutions to this and similar organization data quality problems are proposed. The solutions focus on principles of reengineering, employee empowerment, decentralization of computing, and mechanisms to measure and reward individuals for their data quality efforts.

Original languageEnglish (US)
Title of host publicationProceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS
DOIs
StatePublished - 2008
Externally publishedYes
Event41st Annual Hawaii International Conference on System Sciences 2008, HICSS - Big Island, HI, United States
Duration: Jan 7 2008Jan 10 2008

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Other

Other41st Annual Hawaii International Conference on System Sciences 2008, HICSS
Country/TerritoryUnited States
CityBig Island, HI
Period1/7/081/10/08

ASJC Scopus subject areas

  • Engineering(all)

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