Data as an Economic Asset: Understanding the Value of Information in Modern Economies

Data as an Economic Asset

The importance of data has increased dramatically in the 21st century, and it is now one of the most valuable assets in the global economy. As with land, labor, and capital in the past, data has now evolved into a productive resource that generates value, informs decision-making, and enhances competitive advantage.
The economic accounting of data as an economic asset has fundamentally modified the approaches by economists, businesses, and policymakers to both production and efficiency. Historically, economic production has emphasized essential inputs such as physical capital, human capital, and natural resources. Today, the leading businesses — finance, healthcare, exemplary digital platforms, etc. — are driven by an alternative input: informational capital, which describes our ability to collect, store, process, and protect meaningful data generated by individuals, professionals, social experience, etc.

Economics of Information

The economic value of data is rooted in information economics, a branch of microeconomics that deals with the effects of information on markets. An early example of information economics is the work of George Akerlof, Joseph Stiglitz, and Michael Spence, which demonstrates that knowledge asymmetry leads to market failure.

If consumers do not know how businesses are using or securing their personal data, they are unable to gauge trust and assess risk; the lack of trust means consumers are unable to participate. The lack of participation lowers competition and lowers economic welfare. Investing in data control and transparency is not only ethical; it is the rational, economic calculus. Firms that take identification of and maintain protection of data, and explain its use, will reduce uncertainty and enhance trust, resulting in greater market efficiency for trades.

Data as an Asset: From Information to Productivity

The economic function of data is similar to that of physical or human capital. It accumulates, depreciates, and can be converted into output. Organizations can accumulate and nurture data with the desire to improve productivity, anticipate demand, and optimize operations.

For example, logistics organizations examine shipment data and re-optimize routes in an attempt to reduce delays. Financial services organizations monitor customer data and take action based on credit risk analysis. Each of these examples illustrates an example of data as capital; in other words, data is information that improves efficiency and assists with decision-making.
Like any capital asset, data needs to be maintained, safeguarded, and utilized in an effective manner. Poor data governance can lead to inefficiencies, market distortions, and a loss of consumer trust. This is more than a technical problem; its implications are economically inefficient as resources are wasted reenacting the tenets of data governance, such as in preventable data breaches and regulatory fines.

As a result, firms that acknowledge data represent an economic asset are incorporating data governance as a belief and function of the organization and are thinking of it as they would consider their investments in machinery or infrastructure, i.e., the firm's investments in privacy and cybersecurity practices.

The Cost of Data Breaches: Negative Externalities

From an economic perspective, weak data protection creates negative externalities, which are costs taken on by others, not by the firm. A company that scrimps on data security may save a little money now, but it is ultimately a violator of its customers' rights, collapses markets, and needs to respond with expensive public infrastructure in the case of a breach.

This logic resonates with respect to environmental economics as well — just as pollution creates costs for others, the same notion is true of misusing data. When data privacy is lax, the marketplace systematically underinvests in data protection because the firm does not internalize the broader social costs of a breach event.
In a typical economic solution, this is when there is often a demand for regulation — legislation to align private incentives with public goods. We see this with regulations like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States. These policies take the negative externalities into account by assuming accountability, transparency, and a financial penalty when things go awry.

However, relying exclusively on regulation is insufficient. Firms need a plan that uniquely embraces a proactive strategy around data security as an ongoing investment or asset, which is simply part of their economic infrastructure as opposed to a compliance exercise.

Data Infrastructure and the Need for Secure Connectivity

The essence of data as capital lies in data protection that takes place on the way and when it is saved. The infrastructure that connects geographically isolated entities digitally is the highways and railways of the industrial economy. Information is always traveling between employees, customers, and servers, around the world and on various forms of devices. If information travels without adequate protections and safeguards in place, anything and everything it is tangentially connected to is at risk of a violation to its integrity. This is why businesses must invest in Internet connections that offer safe and reliable connectivity that is also encrypted. If the digital connection is secure and offers safe transmission of information, it is less likely that data will be intercepted or altered in transit.

In this context, digital infrastructure not only becomes a utility resource, it offers economic opportunities. Reliable and secure connectivity facilitates the trade of information efficiently, the coordination and collaboration of assets from nowhere, and the ongoing flow of value that relies on data in the world economic ecosystem.

Data Governance as a Form of Institutional Efficiency

Scholars of economics, such as Ronald Coase and Oliver Williamson, have suggested that firms exist to act as a means of reduced transaction costs, which is the term used to discuss the costs and friction in the coordination and exchange of information. Data governance regimes are an application of that economic reasoning in the digital age.

If a firm is clear about the regime to access its data, how it classifies its data, and how the data are accountable, that firm can reduce any further informational friction and facilitate better coordination. This, again, is entirely consistent with economic theory; transparency reduces ambiguity and uncertainty, creates a more intelligent contract, and helps engender trust in the market's participants.
In addition to simply reducing transaction costs, good data governance also reduces compliance costs when a firm must respond to audits, customers, or new regulations promptly. To note, good data governance is not just a defensive strategy; it is a driver in allocative efficiency, in that it allows information to flow to the people and departments in the firm where that information has the greatest productive value.

The Emerging Market for Data

With data becoming a prized commodity, new age markets have emerged to facilitate the collection, storage, and exchange of data. An entire multi-trillion dollar global market now exists that engages in trading anonymized datasets, servicing cloud storage, and functioning businesses that provide the capacity for analysis through AI.

There are serious concerns focused on questions of ownership, pricing, and competition. Who is the rightful owner of the data that emerges from digital interaction — is it the user, platform, or service provider? For data that derives its value from aggregation, how is it valued?

This has encouraged research by economists into the concept of data market design — an attempt to evaluate the balance of ownership vs. market innovation, and market efficiency vs. consumer protection.

While earlier economies have grappled with establishing property rights around land and intellectual property, the emerging digital economy includes a class of assets not built around real-world tangible goods and assets, which brings additional questions about rights and responsibilities to data as an asset.

The Policy Perspective: Regulation and Public Value

Governments play an essential role in shaping the data economy. Since the benefits of secure, equitable, and transparent data practices hinge on interactions between stakeholders beyond benefits for individual firms, we can describe public intervention and policies as justified at worst and, in many cases, produced through expected value to promote the social welfare as a whole.
Regulatory regimes, public awareness, educational systems of digital literacy, and policy values generate friction in market inefficiencies due to asymmetric information and misuse of data. However, it is possible for excessive regulation to stifle innovation or barriers of compliance from unnecessary regulations beyond what is needed to promote positive practice.
The economic dilemma then becomes the balance of innovation with protection when creating a policy environment that will support the data economy as well as privacy and trust. This balance is essential to what extent societies can leverage data as a sustainable driver of economic growth.

Conclusion

Data is now the defining asset of the modern economy — a form of capital on which productivity, competitive advantage, and innovation depend. But like any resource, data must be managed effectively.

When we view data through an economics lens, it makes clear that data has a dual nature (value and risk), and firms that invest in a good and secure internet, protect information assets, and implement practices of governance will derive benefits in compliance and generate competitive advantages.

Economists and policymakers continue to refine the ways data is measured, regulated, and traded, but it is clear from the literature that information and its effective management and fair governance are the foundations of value creation in the digital economy.