Track
Economics and Value of Information Systems
Abstract
As poor data quality usually leads to high costs, managing data quality is essential for organizations. Thereby, comparing thecurrent with the required data quality level is necessary for an effective and economics-driven data quality management.Otherwise decision makers might decide in favor of unsuitable or inefficient data quality improvement measures with respectto cost and benefit. Existing methodologies for assessing and improving data quality often neglect providing methods fordetermining the required data quality level or argue on a managerial rather than an operational level. As a consequence, aneconomics-driven and context-dependent decision model for updating data at the level of attribute values is presented. Thismodel contains a metric for currency, errors and error costs, and a currency threshold for attribute values. The decision modelis illustrated using a direct marketing example.
Recommended Citation
Görz, Quirin, "An Economics-Driven Decision Model for Data Quality Improvement – A Contribution to Data Currency" (2011). AMCIS 2011 Proceedings - All Submissions. 145.
https://aisel.aisnet.org/amcis2011_submissions/145