Duplicate detection is the process of identifying and managing duplicate records within a dataset. This is important for maintaining data quality, as duplicates can lead to confusion, errors, and inefficiencies in data analysis. Techniques for duplicate detection often involve comparing attributes of records, such as names, addresses, or identification numbers, to find matches. Organizations use various algorithms and tools for duplicate detection, which can range from simple string matching to more complex machine learning methods. By effectively managing duplicates, businesses can ensure accurate reporting, improve customer relationships, and enhance overall operational efficiency.