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Authors: Kristaps Pēteris Rubulis 1 ; Jānis Vempers 2 and Edžus Žeiris 2

Affiliations: 1 Riga Technical University, Institute of Information Technology, Kalku 1, Riga, LV-1658, Latvia ; 2 Ltd. ZZ Dats, Elizabetes 41/43, Riga, LV-1010, Latvia

Keyword(s): Knowledge Sharing, e-Municipalities, Patterns, Framework.

Abstract: 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Rubulis, K.; Vempers, J. and Žeiris, E. (2020). Development of Framework for Designing an Analytical Data Warehouse: Case of e-Municipalities. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KMIS; ISBN 978-989-758-474-9; ISSN 2184-3228, SciTePress, pages 161-171. DOI: 10.5220/0010056001610171

@conference{kmis20,
author={Kristaps Pēteris Rubulis. and Jānis Vempers. and Edžus Žeiris.},
title={Development of Framework for Designing an Analytical Data Warehouse: Case of e-Municipalities},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KMIS},
year={2020},
pages={161-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010056001610171},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KMIS
TI - Development of Framework for Designing an Analytical Data Warehouse: Case of e-Municipalities
SN - 978-989-758-474-9
IS - 2184-3228
AU - Rubulis, K.
AU - Vempers, J.
AU - Žeiris, E.
PY - 2020
SP - 161
EP - 171
DO - 10.5220/0010056001610171
PB - SciTePress