The Importance of Data Quality Assurance ◾ 153
expectations, (4) development of a governance model for overseeing success, and
(5) development of protocols for ensuring that policies and procedures for main-
taining high-quality data are followed by the stakeholders across the organization.
Identication of these aspects of data quality assurance enables an organization
to clearly specify a data quality framework and to continuously and eectively
manage the data quality assurance/improvement practices based on a data quality
maturity model.
Data Quality Frameworks
Loshin (2010, ch. 3, p. 37) has observed that a data quality framework denes
management objectives that are consistent with key success objectives and the
enterprise expectations for ...