If the automatic data classification process suggests the wrong or no data class for a column, investigate the following:
- Does the data class definition match the column values?
Data can be formatted in various ways, and the out-of-the-box classification rules for the data class may not fit the column's format. For more information, go to About data classes. - Does the data type of the column in the data source match the data class' column type filter?
If the data class includes a column type filter, the data class is considered only for columns of the selected data types. For more information, go to About data classes. - Is there enough data available?
The automatic data classification process needs at least 6 values that can be checked, to classify a column. For more information, go to About automatically classifying assets. - Did you accept or reject the data class before?
If you accept or reject a data classification suggestion, that data class is no longer considered by the automatic classification tool. For more information, go to Accept or reject data classification suggestions.
Check out the Collibra Support portal for Unified Data Classification more troubleshooting information.