Authors: Janne J. Korhonen, Ilkka Melleri, Kari Hiekkanen and Mika Helenius
Abstract: High quality data is a key source of business value, but this high quality can be attained only through proper data management. However, data quality issues in organizations are often addressed inadequately and Data Governance (DG) is called for. Data Governance requires four main components: commitment, technology, process and accountability. This paper focuses on the accountability aspect: the assignment of decision rights and responsibilities pertaining to data management. Based on the literature, we distinguish five common data management roles. Using Agile Governance Model (AGM) as a reference governance structure, we 1) analyze the coverage of these data governance roles and responsibilities, and 2) demonstrate how the AGM can be used to ensure that requisite accountabilities will be addressed throughout the enterprise at the right organizational levels and horizontal loci.
Keywords: data governance, data management, accountability, roles, data quality