Possible research directions include data asset valuation, AI economics, intangible assets, data governance, analytics return on investment, data monetization, and the relationship between data quality and strategic value creation.

This opportunity is particularly relevant for experienced professionals in SaaS, industrial IoT, e-commerce, analytics, finance, consulting, digital transformation, or corporate strategy. Candidates may design a data asset ledger, data valuation model, or executive decision tool for prioritizing data-related investments.

The expected contribution is a practical artefact that helps organizations distinguish high-value data assets from low-impact data accumulation and connect data strategy to measurable business outcomes.

Possible research directions include data asset valuation, AI economics, intangible assets, data governance, analytics return on investment, data monetization, and the relationship between data quality and strategic value creation.

This opportunity is particularly relevant for experienced professionals in SaaS, industrial IoT, e-commerce, analytics, finance, consulting, digital transformation, or corporate strategy. Candidates may design a data asset ledger, data valuation model, or executive decision tool for prioritizing data-related investments.

The expected contribution is a practical artefact that helps organizations distinguish high-value data assets from low-impact data accumulation and connect data strategy to measurable business outcomes.