In this course, instructor Mark Horseman delves into the six essential dimensions of data quality—completeness, consistency, uniqueness, accuracy, validity, and timeliness—providing detailed explanations and real-world examples for each. Participants will gain a deep understanding of how these dimensions collectively ensure reliable and high-quality data management. Through practical insights and proven strategies, the course guides learners in implementing effective data quality practices within their organizations, empowering them to identify data issues, enhance integrity, and drive better decision-making across business functions.

Purpose

To understand common data quality dimensions and how they can be applied to develop a robust data quality program. By the end of this course, you will be equipped with the knowledge to enhance data completeness, uniqueness, timeliness, validity, accuracy, and consistency in your organization.

Outcome

• Identify and apply the six core data quality dimensions: completeness, uniqueness, timeliness, validity, accuracy, and consistency
• Gain practical insights into measuring and improving data quality within your organization
• Learn how to implement data quality rules and standards to ensure reliable and consistent data across various systems

This Course Includes:

• A 28-minute educational training video
• A 10-question exam
• Presentation slides to assist in continued learning
• Self-paced and on-demand e-learning
• Unlimited course access
• Downloadable resources include:
  • Course Slides in .pdf Format
  • Launching a Data Quality Program White Paper
  • DAMA DQ Dimensions White Paper
• Course CEUs: 1.5 hours

Individual Course Price: $99
Learning Plan Price: $419
Learning Plan CEUs: 7.5 hours

We offer several bulk licensing options for corporate and group use.

Contact us for a follow-up discussion!