000			02054cam a2200241 4500500
005			20250112051012.0
041			_afre
042			_adc
100	1	0	_aMarchildon, Philippe _eauthor
700	1	0	_a Bourdeau, Simon _eauthor
700	1	0	_a Hadaya, Pierre _eauthor
700	1	0	_a Labissière, Aldrin _eauthor
245	0	0	_aData governance maturity assessment tool: A design science approach
260			_c2019.
500			_a37
520			_aToday, the use of data has become a strategic asset as it allows organizations to discover new trends and develop deeper insights into their customers and partners, as well as the markets and environments in which they operate. To properly manage their data, organizations rely on a data governance framework (DGF) that defines the processes, policies, practices, and structures necessary to orchestrate and optimize the collection, storage, use, and dissemination of data as organizational assets. However, most organizations fail to implement a DGF tailored to their needs since they do not know the precise maturity level of their data management practice and therefore do not know where to start when implementing a DGF. To help organizations evaluate their operations against data governance best practices and help them develop, deploy, and/or improve their DGF accordingly based on their key gaps, the present paper develops a data governance maturity assessment tool using a design science research approach. The proposed artifact, which consists of 11 dimensions and 72 questions, allows organizations to assess where they stand in terms of data governance and, in turn, to better define and prioritize the goals, content, and activities of their data governance initiatives.
690			_adata management
690			_amaturity assessment tool
690			_adesign science
690			_adata governance
786	0		_nProjectics / Proyéctica / Projectique | o 20 | 2 | 2019-02-26 | p. 155-193 | 2031-9703
856	4	1	_uhttps://shs.cairn.info/journal-projectics-2018-2-page-155?lang=en
999			_c200693 _d200693