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TitleA data warehouse model for business processes data analytics
Author(s)Santos, Maribel Yasmina
Sá, Jorge Oliveira e
KeywordsAnalytical data model
Business intelligence
Business process management
Business process model and notation
Data warehousing
Operational data model
Issue dateJul-2016
PublisherSpringer Verlag
JournalLecture Notes in Computer Science
CitationSantos, Maribel Yasmina and Jorge Oliveira e Sá, “A Data Warehouse Model for Business Processes Data Analytics”, Proceedings of the 2016 International Conference on Computational Science and Its Applications (ICCSA’2016), Springer-Verlag, LNCS 9790 (Part V), pp. 241–256, July 4-8, Beijing, China, 2016 (DOI: 10.1007/978-3-319-42092-9_19).
Abstract(s)Business Process Management and Business Intelligence initiatives are commonly seen as separated organizational projects, suffering from lack of coordination, leading to a poor alignment between strategic management and operational business processes execution. Researchers and professionals of information systems have recognized that business processes are the key for identifying the user needs for developing the software that supports those needs. In this case, a process-driven approach could be used to obtain a Data Ware- house model for the Business Intelligence supporting software. This paper presents a process-based approach for identifying an analytical data model using as input a set of interrelated business processes, modeled with Business Process Model and Notation version 2.0, and the corresponding operational data model. The proposed approach ensures the identification of an analytical data model for a Data Warehouse repository, integrating dimensions, facts, relationships and measures, providing useful data analytics perspectives of the data under analysis.
TypeConference paper
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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