Why Human-Centered Data Analytics Matters More Than Ever

Many data analytics and AI initiatives fail because they neglect the human element, focusing on metrics over people. Human-Centered Data Analytics proposes a shift, asking what data can help people understand or decide, rather than just what can be predicted. This approach involves starting with people, interrogating a problem's origin, designing for understanding over raw accuracy, and considering ethical impacts. By acknowledging data's blind spots and building feedback loops, this method creates more responsible, sustainable, and impactful data-driven systems.