DQ 301 – Data Quality Management – Concepts and Implementation

Data and information are critical assets of any organization and should be considered as valuable a resource as buildings, employees, and products. For a company to gain a significant competitive advantage, it must focus on managing the quality of its data. Data quality management is essential to ensuring the viability of data and information.

This intensive course will deliver a roadmap for creating and implementing a data quality management program, based on successful real-world implementations at several leading-edge companies. The attendees will gain an understanding of the importance of data management, the various types of information management approaches, data quality concepts and practices, and will learn proven approaches to the implementation of a data quality program.

In this course, students will develop a plan for implementing a data quality program and learn about the organizational structures and roles that are essential to managing data quality effectively.

This course is workshop-focused since design concepts are best learned by doing. The workshops are oriented to solving problems that every organization faces in its current projects. They allow each student to learn how the concepts are applied, improving the understanding of the importance of starting and maintaining an enterprise-wide data quality program.