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Campo DC | Valor | Idioma |
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dc.contributor.author | Santos, Maribel Yasmina | por |
dc.contributor.author | Sá, Jorge Oliveira e | por |
dc.date.accessioned | 2016-08-04T08:47:43Z | - |
dc.date.issued | 2016-07 | - |
dc.identifier.citation | Santos, 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). | por |
dc.identifier.isbn | 9783319420912 | por |
dc.identifier.issn | 0302-9743 | por |
dc.identifier.uri | https://hdl.handle.net/1822/42345 | - |
dc.description.abstract | 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. | por |
dc.description.sponsorship | This work has been supported by COMPETE: POCI-01-0145-FEDER- 007043 and FCT (Fundação para a Ciência e Tecnologia) within the Project Scope: UID/CEC/ 00319/2013, and by Portugal Incentive System for Research and Technological Development, Project in co-promotion no 002814/2015 (iFACTORY 2015-2018). | por |
dc.language.iso | eng | por |
dc.publisher | Springer Verlag | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.rights | restrictedAccess | por |
dc.subject | Analytical data model | por |
dc.subject | Business intelligence | por |
dc.subject | Business process management | por |
dc.subject | Business process model and notation | por |
dc.subject | Data warehousing | por |
dc.subject | Operational data model | por |
dc.title | A data warehouse model for business processes data analytics | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
sdum.publicationstatus | info:eu-repo/semantics/publishedVersion | por |
oaire.citationStartPage | 241 | por |
oaire.citationEndPage | 256 | por |
oaire.citationConferencePlace | China | por |
oaire.citationTitle | Proceedings of the 2016 International Conference on Computational Science and Its Applications (ICCSA’2016) | por |
oaire.citationVolume | LNCS 9790 (Part V) | por |
dc.identifier.doi | 10.1007/978-3-319-42092-9_19 | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Lecture Notes in Computer Science | por |
sdum.conferencePublication | Proceedings of the 2016 International Conference on Computational Science and Its Applications (ICCSA’2016) | - |
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ICCSA2016a_MYS_JOS.pdf Acesso restrito! | 1,8 MB | Adobe PDF | Ver/Abrir |