The first data asset question is whether you have it. The second — and harder — question is whether you can use it.
The Data Usability Problem
Most institutions that have been systematically collecting data for years have discovered that the first-order data asset question — do we have this data? — is less consequential than expected, because they have more data than they can effectively use. The second-order question — can we use what we have? — is the binding constraint. The data asset that cannot be accessed efficiently, whose quality is insufficient for reliable analysis, whose structure is incompatible with available analytical tools, or whose governance is too constrained to allow the uses that would generate value, is a potential asset rather than an actual one.
The Data Governance Dimension
Data governance is both the most consequential and the most neglected dimension of data asset management. The institution that has excellent data quality and infrastructure but inadequate governance will find its data asset constrained by legal, regulatory, and reputational limitations that inadequate governance creates. GDPR compliance failures, absent data sharing agreements, and security incidents from access control failures each represent a data asset impaired by governance failure rather than technical limitation.
Data is a potential asset. Infrastructure makes it accessible. Governance makes it usable. The institution that has invested only in collection has the raw material without the refinery. Converting potential into value requires all three investments simultaneously.
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