Accurate data is the key to success. When data is corrupted or corrupted by an error, it can impact business decisions and an organization’s overall performance. Hence, it is necessary to clean the data from time to time to remove this “dirty” data. Below is a brief overview of what data cleaning entails, what types of data are cleaned, and why it is such an important step in the data preparation process.
Infographic provided by Association Analytics, data analytics platform
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