However, industry studies show that PPC data quality does
regularly not meet these three criteria: For this paper, twelve
typical data inconsistencies and errors in PPC processes have
been identified in real industrial data sets from four mid-sized
German manufacturing companies. These data inconsistencies
have been clustered considering the above mentioned
dimensions of data quality as well as scale of measure (cf.
Fig. 1). Scale of measure is an important criteria for
identifying applicable algorithms for the given data
inconsistencies and errors.