An intelligent project lifecycle data mart-based decision support system

Abstract

Mission critical decision making in enterprises depends heavily on intelligent systems for extracting, analyzing and interpreting information from multiple heterogeneous, distributed data and knowledge sources. It is assumed that data warehouses (DW), data marts (DM) are required for optimized data accessibility and use. This paper discusses issues with the current DW/DM systems and propose a novel architecture based on multi-agents technology to support information and knowledge extraction over distributed data sources in order to use them in the decision making process. The proposed framework is applied to a real-world project lifecycle case that is EPC (Engineering Procurement and Construction) project.