This white paper outlines a methodical approach to data commercialization, emphasizing the need for structured pricing strategies. As enterprises face rising data volumes, monetization is hindered by fragmented markets, poor data quality, and compliance risks. The paper suggests classifying datasets as products and applying both quantitative (cost-based) and qualitative (value-based) pricing models. Quantitative methods consider acquisition, storage, and processing costs, while qualitative pricing reflects perceived value, ROI, exclusivity, and market demand. A robust model reduces revenue leaks, strengthens customer trust, and positions data as a balance sheet asset for long-term growth.

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