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Data Interpretation as an Organizational Competency

Data science matures when it becomes less about models and more about shared interpretive alignment. The challenge is not accuracy — it is meaning.

The Shift from Data Collection to Data Understanding

Accumulating data has diminishing returns. What matters now is the system's ability to distinguish signal from narrative. Interpretation is the new computation.

Data Science as the Architecture of Insight

Data science is no longer a discipline of extraction, but of interpretive modeling. The value is not in prediction, but in shaping how organizations understand....