An Ontology-Based Collaborative Business Intelligence Framework

Muhammad Fahad, Jérôme Darmont

2023

Abstract

Business Intelligence constitutes a set of methodologies and tools aiming at querying, reporting, on-line analytic processing (OLAP), generating alerts, performing business analytics, etc. When in need to perform these tasks collectively by different collaborators, we need a Collaborative Business Intelligence (CBI) platform. CBI plays a significant role in targeting a common goal among various companies, but it requires them to connect, organize and coordinate with each other to share opportunities, respecting their own autonomy and heterogeneity. This paper presents a CBI platform that democratizes data by allowing BI users to easily connect, share and visualize data among collaborators, obtain actionable answers by collaborative analysis, investigate and make collaborative decisions, and also store the analyses along graphical diagrams and charts in a collaborative ontology knowledge base. Our CBI platform builds a dashboard to persist collaborative analysis, supports interactive interface for tracking collaborative session data and also provides customizable features to edit, update and build new ones from existing graphs, diagrams and charts. Our CBI framework supports and assists information sharing, collaborative decision-making and annotation management beyond the boundaries of individuals and enterprises.

Paper Citation

in Harvard Style

Fahad M. and Darmont J. (2023). An Ontology-Based Collaborative Business Intelligence Framework. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-664-4, SciTePress, pages 480-487. DOI: 10.5220/0012131900003541

in Bibtex Style

@conference{data23,
author={Muhammad Fahad and Jérôme Darmont},
title={An Ontology-Based Collaborative Business Intelligence Framework},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2023},
pages={480-487},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012131900003541},
isbn={978-989-758-664-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - An Ontology-Based Collaborative Business Intelligence Framework
SN - 978-989-758-664-4
AU - Fahad M.
AU - Darmont J.
PY - 2023
SP - 480
EP - 487
DO - 10.5220/0012131900003541
PB - SciTePress