Abstract
In the domain of logistics, Radio Frequency Identification
(RFID) promises a plethora of benefits due
to an enhanced efficiency, accuracy, and preciseness
of object identification. Many of the far-reaching
solutions proposed in the literature are based on data
exchange, integration, and analysis. However, the
respective applications have so far not been thoroughly
scrutinized regarding relevance and design.
This paper specifically explores options for modeling
and utilizing multidimensional data sets for analytical
applications as known from the realm of “Business
Intelligence” (BI). Based on case studies, analysis
scenarios are derived and discussed with respect
to characteristic requirements for the purposeful utilization
of BI tools. This is the foundation for the design
of a multidimensional data model and for the
construction of a prototype based on Online Analytical
Processing (OLAP). The prototype not only visualizes
possible applications and their business potential,
its construction also leads to findings regarding
the gathering and integration of RFID data.