Abstract
In performance measurement systems that are built on top of a data warehouse, the information requirements in natural language are different performance indicators that should be stored and analyzed. We use the requirement formalization metamodel to create a formal requirement repository out of information requirements in natural language. In the course of this research we tested the compatibility of the existing requirement formalization metamodel applying it to a set of over 150 requirements for the currently operating data warehouse project. As a result, we extended the formal specification of information requirements with some additional classes like themes, grouping, and requirement priorities, and relationships discovered in this case study. We discussed benefits of requirement prioritization and advantages of transferring requirement priority values to schema elements with and aim of detecting schema elements to be incorporated into dashboards.
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Kozmina, N., Niedrite, L. (2014). Extending a Metamodel for Formalization of Data Warehouse Requirements. In: Johansson, B., Andersson, B., Holmberg, N. (eds) Perspectives in Business Informatics Research. BIR 2014. Lecture Notes in Business Information Processing, vol 194. Springer, Cham. https://doi.org/10.1007/978-3-319-11370-8_26
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DOI: https://doi.org/10.1007/978-3-319-11370-8_26
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