Another important step in data cleaning is to remove missing data. Even though missing data can sometimes be hard to detect, you can clean up the data. Doing this will allow you to save time and make your data analysts' work easier. Cleansing up data can improve accuracy and speed of analysis.
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Data cleaning can cost anywhere from $50 up to $10,000 depending on what the client needs. Data cleaning costs vary greatly depending on how large and complex the data is. This can be as simple as deduplication or as complicated as data cleaning.