TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Business intelligence process model revisited

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoIC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
ToimittajatJorge Bernardino, Ana Salgado, Joaquim Filipe
KustantajaSCITEPRESS
Sivut341-348
Sivumäärä8
ISBN (elektroninen)9789897583827
TilaJulkaistu - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Vienna, Itävalta
Kesto: 17 syyskuuta 201919 syyskuuta 2019

Julkaisusarja

NimiIC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Vuosikerta3

Conference

ConferenceInternational Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
MaaItävalta
KaupunkiVienna
Ajanjakso17/09/1919/09/19

Tiivistelmä

Today many organizations have come to value knowledge as a production factor. Thus, there is a constant need for getting the information in and sorted. Business intelligence (BI) is a process for systematic acquiring, analyzing, and disseminating data and information from various sources to gain understanding about the business's environment. This is required for supporting decisions for achieving organization's business objectives. Literature has introduced models for planning and executing BI. However, as business environments and technologies evolve in a rapid pace, are the models still applicable? Not all recent issues are taken into consideration in the previous models. BI is considered to be integrated into business processes, so the similar evolution is expected to take place. There are two studies investigating BI instigating this study, but there are still questions to be answered. Literature on different models and findings of these studies were combined to form a vision to better match reality. Various issues like users' active involvement, real-time analysis and presentation, and social media resources were brought up. Practitioners can use the approach to assess their current state of BI activities or planning the organization of BI program.

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