Enhancing Data Accuracy: A Study on the Techniques and Benefits of 名寄せ (Name Consolidation)

Introduction In an increasingly data-driven world, the accuracy of information is pivotal for effective decision-making across various sectors, including business, healthcare, and public administration. One of the significant challenges in data management is the issue of duplicate or inconsistent records, particularly concerning names. This paper explores the concept of 名寄せ (name consolidation), a technique prevalent in data management practices in Japan and other regions. The purpose of this report is to analyze the methods employed in name consolidation, the benefits it brings in enhancing data accuracy, and the implications for organizations that apply these techniques effectively.

Techniques of Name Consolidation Name consolidation involves a series of methods aimed at identifying and merging duplicate entries in datasets, ensuring that each unique entity is represented accurately. Several techniques are employed in this process, each with its strengths and weaknesses.

1. String Comparison Algorithms One of the foundational techniques in name consolidation is the use of string comparison algorithms. These algorithms evaluate the similarity between names base