Dublettenkartierung

Dublettenkartierung, also known as duplicate mapping or record linkage, is a process used to identify and merge multiple records that refer to the same real-world entity. This is a common problem in databases and information systems where data may be entered multiple times, often with slight variations in spelling, formatting, or incomplete information. The goal of dublettenkartierung is to create a single, accurate, and consolidated representation of each entity, thereby improving data quality and enabling more reliable analysis and decision-making.

The process typically involves several steps. First, data is standardized to ensure consistency in formats, such as dates or addresses. Then, matching algorithms are employed to compare records based on various attributes. These algorithms can range from simple exact matching to more complex probabilistic methods that consider the likelihood of a match based on the similarity of multiple fields. Rules are often defined to specify what constitutes a match and to handle ambiguous cases. Finally, identified duplicates are reviewed, either manually or through automated processes, and merged into a single master record.

Dublettenkartierung is crucial in many fields, including customer relationship management (CRM), where it ensures a unified view of customers; master data management (MDM), for maintaining consistent core business data; and data warehousing, for accurate reporting and business intelligence. Effective dublettenkartierung reduces data redundancy, prevents conflicting information, and enhances the overall usability and trustworthiness of a dataset.