Enterprise Data Management

3 units

Organizations have begun generating, collecting, and accumulating more data at a faster pace than ever before. The advent of Big Data has proven to be both opportunity and challenge for contemporary organizations who are awash-even drowning-in data but starved for knowledge. Unfortunately, organizations have not developed comprehensive enterprise data management (EDM) practices that treat data as a strategic imperative. EDM is a comprehensive approach to defining, governing, securing, and maintaining the quality of all data involved in the business processes of an organization. EDM enables data-driven applications and decision-making by establishing policies and ownership of key data types and sources. The ultimate goals are to create a strategic context for the technology underpinnings of data life cycle management and ensure good stewardship of an organization's data. This course will cover the critical components of building an enterprise data management practice including, but not limited to, data strategy, data governance, data security, data architecture, data quality, data ownership, and metadata management. This course includes case studies, lectures, and group activities to enhance the textbook material.