Knowledge Sharing in BI Ecosystems: Case of E-Municipalities

PrOse 2019 [online]: Practicing Open Enterprise Modeling within OMiLAB: Proceedings of the 3rd International Workshop on Practicing Open Enterprise Modeling within OMiLAB (PrOse 2019) co-located with 12th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2019). CEUR Workshop Proceedings. Vol.2499 2019
Lauma Jokste, Rūta Pirta-Dreimane, Kristaps Pēteris Rubulis, Edgars Savčenko, Jānis Vempers

The paper investigates the ecosystem perspective of business intelligence and data analytics with emphasis on knowledge sharing. It is argued that knowledge sharing is an efficient way of justifying and promoting usage of business intelligence solutions and that municipalities are particularly well-suited for collaborating in the business intelligence ecosystem. The paper proposes a preliminary conceptual model of the business intelligence ecosystem. The model considers formalized representation of knowledge in a form of reusable patterns, supports accumulation of feedback information about value of the patterns and distinguishes usage of open and proprietary data items. Examples of business intelligence knowledge sharing are provided.

Atslēgas vārdi
Business intelligence, knowledge sharing, e-municipalities, patterns metamodel
Hipersaite
http://ceur-ws.org/Vol-2499/paper4.pdf

Jokste, L., Pirta-Dreimane, R., Rubulis, K., Savčenko, E., Vempers, J. Knowledge Sharing in BI Ecosystems: Case of E-Municipalities. No: PrOse 2019 [online]: Practicing Open Enterprise Modeling within OMiLAB: Proceedings of the 3rd International Workshop on Practicing Open Enterprise Modeling within OMiLAB (PrOse 2019) co-located with 12th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2019). CEUR Workshop Proceedings. Vol.2499, Luksemburga, Luxembourg, 27.-27. novembris, 2019. Aachen: RWTH, 2019, 37.-48.lpp. ISSN 1613-0073.

Publikācijas valoda
English (en)