Crowdfunding Success Prediction Using Machine Learning: A Comparative Study Based on Turkey’s Campaigns

This study proposes a conceptual framework to redefine the role of business analysts (BAs) in machine learning (ML)-driven digital transformation initiatives, focusing on the public sector. Through a fictional scenario, the study extends the 4S model — Strategist, Synthesizer, Facilitator, and Spokesperson — to illustrate how BAs can guide organizations in adopting and integrating ML technologies effectively.Unlike traditional views that see BAs mainly as technical mediators, this framework positions them as strategic actors who bridge organizational goals and advanced analytics capabilities, facilitate cross-functional collaboration, and support ethical and effective ML deployment.Rather than presenting empirical results, this conceptual paper synthesizes existing literature to offer a unified perspective on the evolving BA role. The proposed framework aligns with the "Digital Transformation: Strategies and Technologies," "e‑Government," and "AI and Machine Learning" tracks, offering both theoretical contributions and practical implications for practitioners and policymakers.