An Ontology-based Collaborative Business Intelligence Framework

TL;DR

This paper introduces an ontology-based framework for collaborative business intelligence that enables multiple organizations to share, analyze, and visualize data collectively while maintaining autonomy and heterogeneity.

Contribution

It proposes a novel CBI platform that democratizes data sharing and collaborative analysis through an ontology-based knowledge base, supporting decision-making across organizations.

Findings

Supports data sharing and visualization among collaborators

Facilitates collaborative decision-making and annotations

Stores analyses in a collaborative ontology knowledge base

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 hat 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 framework supports and assists information sharing, collaborative decision-making and annotation management beyond the boundaries of individuals and enterprises.