6 steps for data cleaning and why it matters

Data cleaning is the process of ensuring data is correct, consistent and usable. You can clean data by identifying errors or corruptions, correcting or deleting them, or manually processing data as needed to prevent the same errors from occurring. Most aspects of data cleaning can be done through the use of software tools, but a portion of it must be done manually. Although this can make data cleaning an overwhelming task, it is an essential part of managing company data.
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