This session will outline how the annual data governance maturity assessment, utilizing the Stanford Model, is conducted at Carnegie Mellon University. Best practices will be shared, along with the successes and challenges of conducting the assessment. Moreover, this session will provide a step-by-step walkthrough of how the assessment was performed. Additionally, the value of the assessment will be shared with session participants, including how to turn the results into roadmaps for data governance maturity improvement.

Speaker

Jamie DePastino is the Data Governance Manager in Computing Services at Carnegie Mellon University. She works with leaders to establish and operate an evolving collaboration of data stewards, data consumers, and analysts to enable data sharing and analytics for the institution with the ultimate goal of supporting business leaders in using data to make decisions and analyze performance. She is responsible for leading, planning and facilitating the Data Governance and Data Service programs for the university. She develops data service programs and roadmaps along with establishing standards, frameworks, policies, and processes for the creation and maintenance of standard definitions, metadata, and data management and sharing practices to ensure data quality, stewardship, regulatory compliance and issue resolution.
Jamie is an experienced data specialist with a demonstrated history of working in the higher education industry. She is skilled in data analysis, data visualization, and data governance and is a strong information technology professional with a Doctor of Education (EdD) in Administration and Leadership Studies from Indiana University of Pennsylvania.