A data classification is a policy composed of segmentation criteria such as dimensions. You create data classifications to apply consistent segmentation criteria to a segmentation group.
Before you run the segmentation policy, you must create a data classification and assign a segmentation group to the data classification. Depending on how you want to create segments, you add one or more dimensions to a data classification.
After you add dimensions to a data classification, create dimension slices for each dimension in the data classification. Dimension slices specify how the data for each dimension is organized. When you run the segmentation policy, the ILM Engine uses native database partitioning methods to create a segment for each dimension slice in the data classification.
You can assign multiple segmentation groups to the same data classification. If the segmentation groups are related, such as order management and purchasing, you might want to apply the same segmentation criteria to both groups. To ensure that the ILM Engine applies the same partitioning method to both segmentation groups, assign the groups to the same data classification.
Data classifications are specific to a source connection.