As soon as the data is collected, it needs to be prepared for analysis, which means removing unnecessary or unusable data, so that only high-quality data remains. We, Data-Com, spend most of our time to cleanse the data carefully. In our company process of data preparation is executed in four steps:
Structuring your data—general maintenance, i.e., correcting spelling mistakes, perfecting layout issues or any other detail, so that data manipulation becomes easier.
Filling in major gaps—during data cleansing it is crucial to spot if the important data are missing, so that that gap is filled in as soon as possible.
Removing major errors, duplicates, and outliers—as the data is collected from numerous resources, duplicate, outliers and errors are unavoidable, which need to be removed.
Removing unwanted data points—removing all the unrelated or unusable data.