Data Quality Management : A Primer
Data Quality, Quality Measurement Dimensions, Quality Management Functions, Quality Scorecard, Best Practices and more
Data Quality Management : A Primer free download
Data Quality, Quality Measurement Dimensions, Quality Management Functions, Quality Scorecard, Best Practices and more
"Data Quality Management: A Primer" is your essential guide to the principles and practices of effective Data Quality Management. Designed for beginners, this course provides a comprehensive introduction to the key concepts and strategies needed to ensure high Data Quality.
In this course, we'll explore:
Understanding Data Quality & Measurement Dimensions: Delve into the fundamental dimensions of Data Quality such as accuracy, completeness, consistency, and timeliness. Learn how to evaluate and improve Data Quality in various contexts.
Implementing Effective Data Quality Processes: Understand processes for data profiling, cleansing, validation, and monitoring. Learn how to establish and maintain processes that ensure data remains reliable and valuable.
Utilizing the Data Quality Scorecard: Understand how to use a Data Quality Scorecard to provide a clear snapshot of data quality, track progress, and identify areas needing improvement. Learn the importance of Data Quality and the significant cost implications of poor data quality on organizational performance.
Exploring the Impact of Data Quality on Business Decisions: Examine how high-quality data supports better decision-making and operational efficiency, and understand the broader impact of data quality on business success. We will also go through real examples highlighting the cost of poor data quality.
Recognizing Common Data Quality Challenges: Identify common pitfalls and challenges in data quality management and more.
