loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Tânia Ferreira 1 ; Isabel Pedrosa 2 and Jorge Bernardino 3

Affiliations: 1 Polytechnic of Coimbra and Institute of Engineering of Coimbra – ISEC, Portugal ; 2 Polytechnic of Coimbra and Coimbra Business School – ISCAC, Portugal ; 3 Polytechnic of Coimbra, Institute of Engineering of Coimbra – ISEC and CISUC – Centre for Informatics and Systems of the University of Coimbra, Portugal

Keyword(s): Business Intelligence Tools, Open Source Tools, OSSpal Methodology, Birt, Jaspersoft, Pentaho, SpagoBI.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Business Intelligence Applications ; Data Analytics ; Data Engineering ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Business Intelligence (BI) is a set of techniques and tools that transform raw data into meaningful information. BI helps business managers to make better decisions, which reflects into a better competitive advantage. Open source tools have the main advantage of not increasing costs for companies although it is necessary to choose an appropriate tool to meet their specific needs. For a more precise evaluation of open source BI tools, the OSSpal assessment methodology was applied, which combines quantitative and qualitative evaluation measures. Using the OSSpal methodology, this paper compares four of the top business intelligence tools: BIRT, Jaspersoft, Pentaho and SpagoBI.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.85.255.74

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Ferreira, T.; Pedrosa, I. and Bernardino, J. (2017). Evaluating Open Source Business Intelligence Tools using OSSpal Methodology. In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KDIR; ISBN 978-989-758-271-4; ISSN 2184-3228, SciTePress, pages 283-288. DOI: 10.5220/0006516402830288

@conference{kdir17,
author={Tânia Ferreira. and Isabel Pedrosa. and Jorge Bernardino.},
title={Evaluating Open Source Business Intelligence Tools using OSSpal Methodology},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KDIR},
year={2017},
pages={283-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006516402830288},
isbn={978-989-758-271-4},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KDIR
TI - Evaluating Open Source Business Intelligence Tools using OSSpal Methodology
SN - 978-989-758-271-4
IS - 2184-3228
AU - Ferreira, T.
AU - Pedrosa, I.
AU - Bernardino, J.
PY - 2017
SP - 283
EP - 288
DO - 10.5220/0006516402830288
PB - SciTePress