data cleansing
[/ˈdeɪtə ˈklɛnzɪŋ/]
noun
limpeza de dados
1. The process of identifying and removing errors, inconsistencies, duplicates, and irrelevant information from a dataset to improve its quality and accuracy
Data cleansing is essential before performing any analysis to ensure reliable results.
A limpeza de dados é essencial antes de realizar qualquer análise para garantir resultados confiáveis.
2. A data management technique that involves correcting, standardizing, and validating data to make it suitable for use in business intelligence and analytics
The company invested in data cleansing tools to improve customer database quality.
A empresa investiu em ferramentas de limpeza de dados para melhorar a qualidade do banco de dados de clientes.
Data cleansing has become increasingly important in both Brazilian and American business contexts as organizations recognize the value of high-quality data for decision-making. In Brazil, with the implementation of LGPD (Lei Geral de Proteção de Dados), data cleansing also involves ensuring compliance with data privacy regulations. The term is widely used in tech hubs like São Paulo and among multinational corporations operating in Brazil.
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