What does it actually mean to treat data as an asset?
What businesses need to establish before data can become a trusted, valuable and usable asset.
Treating data as an asset is a complex undertaking that requires a clear understanding of what exactly constitutes a data asset. Unlike tangible assets such as a house or a car, data assets have less straightforward legal frameworks defining them. This uncertainty can make it difficult to value, license or share data confidently.
To treat data as an asset, businesses need to answer four fundamental questions: what exactly is the data, who may use it, who is responsible for it, and how can its condition be verified. Simply labeling a dataset as a "customer record" is insufficient; the data must be defined with precise boundaries, including which information, timeframe, sources, and production methods are included.
Ownership of the data asset is crucial. There must be a named party accountable for maintaining the asset's quality and governance. Additionally, a means must be established for third parties to verify the asset's independent assessment and assurance status without direct access to the data itself.
The benefits of treating data as an asset extend beyond mere recognition of its value. A clearly defined and governed data asset can provide a clearer evidential basis for valuation, licensing, sharing, or using the data in financing. This shift in perspective recognizes that a data asset is more than just the underlying information; it encompasses governance, provenance, permitted uses, quality requirements, and restrictions.
The Isle of Man's Data Asset Foundations framework aims to provide the statutory basis for recognizing data assets. By creating a Data Asset Register, the framework will record information defining the asset and its governance, including its identity, provenance, rights, permissions, responsibilities, and verification methods. This approach is analogous to land registration, where a land register provides certainty about property boundaries and ownership without determining the property's value or quality.
Implementing this framework can make existing value easier to recognize and use, whether through licensing, sharing, financing, or developing new data-driven products. For investors, lenders, or licensees, a defined and governed data asset can reduce friction in assessing the asset's value and potential commercial outcomes, ultimately transforming data from an internal resource into a defined, registered, and governable asset.
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