Transformations for an Analysis Process 

Use

Under Transformations, you will find functions for the preparation of data, as well as functions for transformation of data.

Preparation of data:

A complete, error-free data basis is decisive for the good quality of results of an analysis process. In order to be able to guarantee this, there are functions available that you can use to prepare the data basis accordingly.

Transformation of the data:

Using “real” transformations, it is then possible to uncover and map hidden information.

Features

The following functions are available for the preparation of data in the analysis process designer:

●      Restrict Amount of Data

●      Aggregate Data

●      Join Data from Multiple Sources

●      Unify Data from Two Data Sources (Union)

●      Hide Columns

●      Sort Data

●      Formula

●      Transform List into Data Record

●      Transform Data Record into List

The following functions are available for the transformation of data in the analysis process designer:

●      ABAP Routine

●      Data Mining Methods:

○       ABC classification

○       Weighted table scoring

○       Regression analysis

○       Prediction with decision tree

○       Prediction with cluster model

○       Prediction with data-mining model from third parties

You can find descriptions of the transformations in the analysis process designer as well in the dialog window for the respective node under  Help.