Development of Framework for Designing an Analytical Data Warehouse: Case of e-Municipalities

12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management: Proceedings. Vol.3 2020
Kristaps Pēteris Rubulis, Jānis Vempers, Edžus Žeiris

Knowledge sharing is an important aspect in a company’s daily life. Transferring practical experience and knowledge (that is required for solution development) among employees is crucial. This improves the development time and quality of software solutions as well as understanding of future projects related to cases with similar concepts and concerns. A framework for designing an analytical data warehouse (FADW) intended for municipalities is proposed. This framework focuses on the usage of patterns that are utilized for knowledge sharing purposes. The paper analyzes a case study and outlines possible solutions to the problems identified. A data warehouse is used to integrate data and to address business data analysis and, with the help of patterns, these solutions are shared among the municipalities.

Keywords
Knowledge Sharing, e-Municipalities, Patterns, Framework
DOI
10.5220/0010056001610171
Hyperlink
https://www.scitepress.org/PublicationsDetail.aspx?ID=F5bXQ1lYu4E=&t=1

Rubulis, K., Vempers, J., Žeiris, E. Development of Framework for Designing an Analytical Data Warehouse: Case of e-Municipalities. In: 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management: Proceedings. Vol.3, Portugal, Setubal, 2-4 November, 2020. Setubal: SciTePress, 2020, pp.161-171. ISBN 978-989-758-474-9. Available from: doi:10.5220/0010056001610171

Publication language
English (en)