Year: 2007
Type: conference-paper
Abstract: Enterprises need data quality management (DQM) that combines business-driven and technical perspectives to respond to strategic and operational challenges that demand high-quality corporate data. Hitherto, companies have assigned accountabilities for DQM mostly to IT departments. They have thereby ignored the organisational issues that are critical to the success of DQM. With data governance, however, companies implement corporate-wide accountabilities for DQM that encompass professionals from business and IT. This paper outlines a data governance model comprised of three components. Data quality roles, decision areas and responsibilities build a matrix, comparable to a RACI chart. The data governance model documents the data quality roles and their type of interaction with DQM activities. Companies can structure their company-specific data governance model based on these findings.
Author: Kristin Wende
Institution: University of St.Gallen
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Funder: Universität St. Gallen
OpenAlex ID: W1501573190