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Data Quality Management - A Primer - OneDDL - 09-04-2024 Free Download Data Quality Management - A Primer Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 336.17 MB | Duration: 2h 30m Data Quality, Quality Measurement Dimensions, Quality Management Functions, Quality Scorecard, Best Practices and more What you'll learn Understand fundamentals of Data Quality Management Importance of Data Quality and impact on businesses Real Examples : Highlighting cost of poor quality data Develop skills to measure, monitor, communicate, and manage Data Quality effectively Gain knowledge on data profiling, cleansing, and using a Data Quality Scorecard Talk with confidence when it comes to Data Quality Management Requirements No Prior Data Knowledge Required Interest in Learning About Data Quality Curiosity to Understand How Data Quality Impacts Business Description "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. Overview Section 1: Introduction Lecture 1 Who is this course for? Lecture 2 Prerequisite for taking up this course Lecture 3 Course Structure Section 2: Introduction to Data Management & Data Quality Management Lecture 4 Data Management - Big Picture Lecture 5 What is Data Quality Management? Lecture 6 What is Data Quality? Lecture 7 Importance of Data Quality Lecture 8 Cost of Poor Data Quality : Real Examples Lecture 9 Summary Section 3: Data Quality Measurement Dimensions Lecture 10 What is Data Quality Measurement Dimensions? Lecture 11 Accuracy Lecture 12 Completeness Lecture 13 Consistency Lecture 14 Timeliness Lecture 15 Validity Lecture 16 Uniqueness Lecture 17 Summary Section 4: Data Quality Scorecard Lecture 18 Introduction to Data Quality Scorecard Lecture 19 Structure of Scorecard Lecture 20 Best Practices Lecture 21 Summary Section 5: Data Quality Management Functions Lecture 22 Introduction Lecture 23 Data Profiling Introduction Lecture 24 Data Profiling Process Lecture 25 Data Quality Monitoring & Testing Lecture 26 Data Cleansing Lecture 27 Data Standardisation Lecture 28 Root Cause Analysis Lecture 29 Change Management Lecture 30 Data Stewardship Lecture 31 Summary Section 6: Data Quality Tools and Mistakes to Avoid Lecture 32 Common Mistakes : Data Quality Management Lecture 33 Data Quality Tools Lecture 34 Data Quality Tools : Example Section 7: Wrap up Lecture 35 Thank you Data Pipeline Developers,Data Pipeline Testers,Business Analysts,Data Project/Product Managers,Anyone interested to learn about Data Quality Management Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |