The use of data models for assessing standard logistics software

The traditional method of selecting standard (logistics) software is very much based on the use of large functional checklists. This paper first describes the limitations of the traditional method and how these limitations are normally resolved. Then the advantages of the use of data models in the area of software selection are argued. Based on these advantages a method is described to compare the data models of different software packages by using a Reference Data Model (RDM). Apparently the results of assessing software systems very much depend on the quality of this RDM. The design of this RDM is therefore a major part of the research. Up to now the use of this data-oriented approach appears very promising, provided that it is seen as an addition to the current method of software selection