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Udemy

Data Quality based on DAMA

via Udemy

Overview

Master the key principles of Data Quality and learn how to profile, cleanse, monitor, and govern your data effectively

What you'll learn:
  • Understand what data quality is and why it is essential for effective data management
  • Identify the key dimensions of data quality and how to measure them with practical metrics
  • Learn how to design and implement data quality rules, policies, and standards
  • Discover the main roles and responsibilities in a successful data quality program
  • Apply profiling, cleansing, and monitoring techniques to ensure reliable data
  • Integrate data quality into operational processes to increase efficiency and trust
  • Explore real use cases where data quality directly impacts business performance
  • Develop a sustainable and scalable approach to long-term data quality management

Do you want to ensure that your organization’s data is reliable, consistent, and fit for decision-making? Are you looking to detect and fix data issues before they impact operations or strategy? Then this course, “Data Quality in Data Governance Based on DAMA”, is exactly what you need.

In this course, you will explore the core principles of Data Quality and learn how to apply them within the DAMA-DMBOK framework. You’ll understand how to profile, cleanse, monitor, and standardize data across your systems to ensure accuracy, completeness, consistency, and timeliness.

We’ll cover key topics such as defining quality dimensions, creating validation rules and standards, implementing continuous monitoring processes, and addressing real-world data quality challenges. You’ll also learn how to embed Data Quality into broader governance initiatives and how to align people, processes, and tools for sustainable improvement.

This course combines theory, practical guidance, and hands-on case studies to help you tackle the most common Data Quality issues across industries.

Whether you're a data professional, a business analyst, or simply someone who works with data and wants to improve its reliability, this course offers a structured, flexible, and practical path to mastering Data Quality.

Enroll now and learn how to turn poor data into powerful insights, driving efficiency, trust, and value across your organization!

Syllabus

  • Introduction to Data Quality
  • Business Drivers for Data Quality
  • Principles and Objectives of Data Quality Management
  • Key Activities in Data Quality Management
  • Tools and Techniques for Data Quality
  • Governance in Data Quality Management
  • Best Practices for Implementing a Data Quality Program
  • Practical Use Cases in Data Quality Management

Taught by

Data Universe and DCDG Partners

Reviews

4.5 rating at Udemy based on 160 ratings

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