Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet records, and mismatched naming conventions across databases. These issues slow analysis pipelines and demand time-consuming cleanup. Organizations now use machine learning-assisted data preparation to address these challenges, which automatically standardizes formats, detects anomalies, and applies business rules. Data […]