Managing Duplicate and Disconnected Customer Records

Inaccurate and fragmented customer data leads to poor customer experiences, wasted marketing spend, and flawed analytics. This written course teaches you how to systematically identify, clean, and manage duplicate and disconnected records to establish a single, reliable source of truth. You will transition from dealing with chaotic, siloed data to establishing clean, unified customer profiles across your systems. In this course, you will: 1. Understand the core principles of data quality and the business impact of duplicate records. 2. Identify duplicate customer profiles using matching algorithms and techniques. 3. Resolve disconnected records across multiple platforms to build a unified customer view. 4. Apply data cleansing best practices while maintaining data integrity and compliance. 5. Design preventative workflows to stop duplicate data entry at the source. 6. Manage continuous data quality monitoring using modern data stack principles. This course begins with foundational concepts of data management and record matching terminology, before guiding you through practical strategies for merging and reconciling data. You will read through real-world scenarios and complete written exercises to reinforce your learning. This course is designed for beginners, database administrators, and customer success managers looking to improve their organization's data hygiene without prior technical experience. Start building cleaner, more reliable customer databases today.