@inproceedings{priebe_reinventing_2011, address = {Zürich}, title = {Reinventing the {Wheel}?! {Why} {Harmonization} and {Reuse} {Fail} in {Complex} {Data} {Warehouse} {Environments} and a {Proposed} {Solution} to the {Problem}}, url = {https://aisel.aisnet.org/wi2011/38}, abstract = {Enterprise or group data warehouses are often introduced in complex multi-national organizations in order to foster harmonization, integrate heterogeneous source systems and hide the heterogeneity from analytical systems. Industry reference data warehouse logical data models such as Teradata’s FS-LDM or IBM’s BDW are promoted as accelerators for the development of such large data warehouses. However, this paper shows that logical data models alone are not sufficient to ensure reusability in those environments. In order to provide a solid basis for standardization, the logical data model needs to be accompanied by a semantic business information model used as an anchor point for the mappings and for communication with business users. Such a model allows a model-driven approach for specification of the data transformations, which usually accounts for at least half the total effort of large data warehouse projects. The paper presents an approach building upon the Teradata Business Data Element (BDE) concept giving practical examples from project experience in the financial services industry. A research prototype is presented, utilizing Semantic Web technologies such as the Web Ontology Language (OWL) to facilitate the traceability of data requirements, business terms and physical data elements in the different layers of a complex data warehouse architecture.}, author = {Priebe, Torsten and Reisser, Andreas and Hoang, Duong Thi Anh}, year = {2011}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Data Intelligence, Institut für IT Sicherheitsforschung, SP IT Sec Applied Security \& Data Science, Wiss. Beitrag, best, peer-reviewed, ⛔ No DOI found}, }