Data Cleansing and Quality Management with SAP

Inaccurate or duplicate master data can disrupt business operations, lead to costly errors, and compromise strategic decision-making. Developing a systematic approach to data profiling and cleansing is essential for maintaining enterprise data integrity. This text-based course guides you from the fundamental principles of data quality to the practical execution of cleansing workflows within SAP environments. You will learn how to audit existing datasets, establish validation rules, resolve duplicate records, and implement ongoing governance strategies to keep your enterprise data pristine. What you'll learn: - Understand core data quality dimensions, standards, and the lifecycle of enterprise master data. - Identify and resolve duplicate records systematically using SAP matching and merging concepts. - Apply modern data profiling techniques to assess the health and consistency of your datasets. - Execute mass data changes and cleansing workflows efficiently within the SAP framework. - Establish proactive validation rules and governance practices to prevent future data decay. The course starts with foundational definitions of data quality and governance before walking through step-by-step text explanations of cleansing techniques, validation rules, and real-world SAP scenarios. Designed for beginners, data analysts, and aspiring database administrators, this course requires no prior experience with SAP or data governance. Start reading today to build the essential skills needed to champion data quality in any enterprise.