The analysis of data produced by enterprises during business-process executions is crucial in ascertaining how these processes work and how they can be optimized, despite heterogeneous nature of these data structures. This data may also be used for various types of analysis, such as reasoning, process querying and process mining, which consume different data formats. However, all these structures and formats share a common ground: the business-process model and its instantiation are in each of their kernels. In this paper, we propose the use of a Business-Process Instance Metamodel, which serves as a common interface to perform an independent exploitation of data from the applications that produce the data and those which consume the data. A tool has been implemented as a proof of concept to illustrate the ease of matching the data with the proposed metamodel.