Management of Human Resources
Data cleaning is the process of identifying and correcting inaccuracies, inconsistencies, and errors in datasets to improve data quality and ensure reliable analysis. This process is crucial as it directly impacts the validity of the conclusions drawn from the data, influencing decision-making and strategic planning. By refining raw data, data cleaning enhances its usability for further analysis and helps in maintaining data integrity across various applications.
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