either male or female. It just so happens that in the application state, the data for Mary
Smith just happen to be female. So no conversion is done for Mary's record. And indeed,
the record for Mary Smith in the applications is redundant with the record for Mary Smith
in the corporation. But conversions from other application data are made. So, looking at
just one record of data may lead to the incorrect conclusion about the issue of the
redundancy of data.

Customizing Data

There are many reasons why data need to be transformed. Turning data into corporate
data is only one of the many reasons. Another reason data need to be transformed is to
customize data for the purpose of analytic processing.

Fig. 3.1.3 shows that records are edited and collected so that a customized analysis can
be done.

Chapter 3.1: Transformations in the End-State Architecture