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Critical Success Factors for the Implementation of Business Intelligence Systems in Engineering Asset Management Organizations

This research aims at exploring the key factors that leading to successful implementation of data warehouse-based decision support systems in engineering asset intensive enterprises such as water, gas, electricity utilities, rail, telcos and manufacturing industries.

Contact Person: William Yeoh
Email: william.yeoh@unisa.edu.au