Data quality requires sustained discipline around the management of data definition and production. Data Governance is a large part of that discipline. The relationship between how well data is governed and the quality of the data is obvious. You cannot have high quality data without active Data Governance.<\/p>\n
Says Gary Allemann, MD at Master Data Management and distributor of Trillium Software, “This month’s Real-World Data Governance webinar with Bob Seiner addresses how to improve data quality through the application of Data Governance practices. Quality starts with a plan and requires formal execution and enforcement of authority over the data. Attend this webinar and take away a plan to achieve data quality through Data Governance.”<\/p>\n
Join Trillium for the webinar, Achieving Data quality through Data Governance<\/a>, as Robert S. Seiner, the President and Principal of KIK consulting & Educational Services and the Publisher of the Data Administration Newsletter (TDAN.com) discuss and explain:<\/p>\n *\u00a0 \u00a0 How Data Governance leads to data quality
\n*\u00a0 \u00a0 Core principles of Data Governance and data quality success
\n*\u00a0 \u00a0 Quality metrics based on governance practices
\n*\u00a0 \u00a0 Relationship between quality and governance roles
\n*\u00a0 \u00a0 Steps to achieve quality through governance<\/p>\n