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Data quality tools are designed to analyze datasets and identify issues such as incorrect, incomplete, or improperly formatted data. Once these data concerns are identified, the tools clean or correct the data based on predefined guidelines. Common methods for data cleansing and correction include deletion, modification, appending, and merging. Professionals in roles such as data analysis, marketing, and sales are among those who benefit from using data quality solutions. By targeting and cleaning data sets, data quality software helps businesses maintain high standards of data integrity. These tools also ensure that data complies with industry, market, or internal regulations, contributing to the overall reliability of information for business operations. Data sets can range from customer contact details to detailed financial records and beyond. Data quality software may overlap with or complement other systems, such as master data management (MDM) software, data integration platforms, or big data solutions. While functionally related to data quality tools, **address verification software** differs in its specific focus on physical location data, using authoritative sources to ensure data accuracy.