Adopting a Stakeholder Perspective in Analytics

As data-driven systems shape modern business decisions, analytics has become central to organizational performance. Yet, traditional analytics approaches remain constrained by a shareholder-centric logic that prioritizes short-term profit over holistic, ethical, and sustainable outcomes. This study proposes a stakeholder-inclusive analytics framework that integrates ethical principles, participatory engagement, and governance mechanisms across industries. Drawing on stakeholder theory [1], ethical AI frameworks [6,7], and critiques of maximizing shareholder value [2], the paper expands previous conceptual models by Yalley [2] into a comprehensive, actionable framework. The paper also identifies major challenges ranging from leadership resistance to quantifying non-financial impacts and suggests practical strategies for adoption. Findings reveal that organizations integrating stakeholder perspectives in analytics experience enhanced trust, innovation, and long-term resilience. This framework advances prior discussions by operationalizing stakeholder inclusion across the entire analytics lifecycle.