Beyond traditional credit metrics: A project management framework for alternative data integration in credit scoring systems

The integration of alternative data sources into credit scoring systems presents a comprehensive project management framework addressing critical gaps in financial services practice. Non-traditional data sources introduce unique challenges requiring structured solutions for data collection, privacy governance, model validation, and stakeholder management. Through established methodologies and industry practices, the proposed strategic framework balances technical implementation with regulatory compliance while promoting fairness in credit assessment. Cross-functional collaboration between data science, legal, compliance, and IT departments facilitates navigation of the complex alternative data landscape. By systematically addressing these project management considerations, financial institutions can expand credit accessibility to traditionally underserved populations while maintaining robust risk assessment protocols. This contribution enhances both theoretical understanding and practical implementation of more inclusive credit scoring systems through effective project management strategies.