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According to Gartner’s report, 40% of businesses fail to achieve their business targets because of poor data quality issues. The importance of utilizing high-quality data for data analysis is realized by many data scientists. Data scientists spend about 80% of their time on data cleaning and preparation. There are various stages in a data cleansing process where machine learning and AI can not only automate workflows but achieve more accurate results. ML solutions can help you to perform record linkage by clustering records based on their similarity.