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Humanizing big data involves transforming large, complex datasets into understandable, relatable narratives and decisions that directly benefit people. It aims to make data approachable and meaningful, so it can inform decisions at individual and societal levels. This process includes relevant storytelling, contextualization, and visualization to turn raw numbers into stories that humans can understand and act upon.

Key Aspects of Humanizing Data

• Relatability: Connecting data points with human experiences and stories.

• Visualization: Using graphs, dashboards, and visual tools to interpret complex data intuitively.

• Personalization: Tailoring data presentations based on the audience's needs, such as personalized banking offers or health recommendations.