Data Preparation
This service reveals inconsistencies that lie within data, such as missing or invalid information. Identifying these errors and fixing them preserves data quality, so you can make accurate decisions. Data Preparation can be performed exclusively or as part of Exploratory Data Analysis. The following reports are examples of Data Preparation.
Detection of Missing Information
Having missing information in your data prevents accurate analysis. With this report, we’ll identify those gaps, so you know exactly what’s not being captured.
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Detection of Outliers
Outliers are extreme values that don’t appear to belong with the rest of the data. They may be unusual values that deserve further investigation or mistakes that can be eliminated. These factors can affect many statistical analyses, so it’s always best to root them out.
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