DQ 101 – Foundations of Data Quality Management

Every organization, in every industry and of every size, relies on data and information for operations and decision-making. Those operations and the decision-making processes require high-quality data for accurate outcomes. Additionally, almost every organization must report results to a variety of regulatory bodies, and those figures must be correct and delivered in accordance with established time periods. High-quality data is an essential component of every organization’s performance.

Many organizations struggle with the ability to develop and sustain a data quality program, one built and maintained according to industry standards and best practices. Therefore, organizations expend much effort and resources to correct data and incur stress when figures do not balance, or when one part of the organization does not follow data quality practices.

This introductory seminar will provide an overview of data quality, its purpose, and how it can be implemented consistently. The attendees will gain an understanding of the importance of data quality to the business success of every organization, the various types of data quality management approaches, the function of the data quality specialist and team, and will provide proven approaches to the implementation of a data quality program.

In this course, attendees will learn about the basic concepts of data quality, the importance of having a specific plan for implementing a consistent data quality program in the organization, and the organizational structures and roles that are essential to a successful data quality program. Through case studies, attendees will see the real-world implementation skills necessary to build a program for their organization.