Data preparation includes the processes of cleansing, summarizing, and transforming detail and operational data into
structures such as data warehouses and data marts that are suitable for BI reporting, data mining, scoring, and statistical
Many DBMSs provide some support for data preparation, such as filtering, aggregation, denormalization, and so on.
However, SAS uniquely supports operations such as sampling, variable binning, imputation, and variable selection, which
are typically not as robust in the DBMS functionality.