Personal Data as Asset
Understanding personal data as a valuable asset, and the implications of treating data as property.
🎯 Learning Objectives
- ▸ Recognize personal data as a valuable asset
- ▸ Understand the implications of data as an asset
- ▸ Analyze questions of data ownership
- ▸ Understand the balance between data value and privacy rights
The Value of Personal Data
Personal data has become one of the most valuable assets in the modern economy. Companies pay billions for data about consumer behaviour, preferences, and demographics. Data brokers build businesses on selling personal information. The value of personal data is not just financial — it also has strategic, social, and political value.
The economic value of personal data comes from its ability to enable targeted advertising, personalised services, risk assessment, and behavioural prediction. These applications create enormous value for businesses but also create risks for individuals.
Personal data is valuable — but its value comes from the person it describes. This is why protecting personal data is protecting human dignity.
Ownership of Personal Data
A common question is: who owns personal data? The answer is complex. Different legal systems answer this question differently, and the DPDPA takes a specific approach.
The "Data as Property" Debate
Some scholars argue that personal data should be treated as property — owned by the individual it describes. Under this view, individuals could sell their data, license it, or control its use. However, this approach has problems: data is not exclusive (multiple parties can use it simultaneously), it cannot be alienated (you cannot separate yourself from your data), and it has public good characteristics (data about populations is valuable for research).
The DPDPA Approach
The DPDPA does not treat personal data as property. Instead, it grants individuals rights (access, correction, erasure) while imposing obligations on Data Fiduciaries. This approach balances individual control with legitimate uses of data.
Under the DPDPA, individuals have rights over their data, but they do not "own" it in the traditional property sense. Companies can use data (with consent or legitimate use), but they do not own it either. Data is more like a shared resource — with rights and obligations for all parties.
The DPDPA avoids the property debate by granting rights rather than ownership. This is a pragmatic approach that balances individual control with legitimate data uses.
Implications of Data as Asset
Treating personal data as an asset has several implications for data protection:
- • Companies have incentives to collect and use data
- • Data must be protected like other valuable assets
- • Data breaches have significant financial consequences
- • Data can be leveraged for competitive advantage
- • Data protection becomes a business priority, not just a compliance issue
Data Protection as Asset Protection
When companies treat data as an asset, data protection becomes asset protection. Investing in security, privacy controls, and compliance is not a cost — it is an investment in protecting a valuable asset. The DPDPA's requirements align with this view — they help companies protect data as they would protect other valuable assets.
💡 Example
A bank invests in vaults and security systems to protect physical assets. Similarly, a company should invest in encryption and access controls to protect data assets. The DPDPA requires such investments.
Balancing Value and Privacy
The most important implication of treating data as an asset is the need to balance economic value with privacy rights. Personal data has economic value, but it also embodies human dignity and autonomy. Balancing these concerns is the central challenge of data protection.
The DPDPA Balance
The DPDPA seeks to balance these concerns. It allows companies to use data for legitimate purposes (recognizing the economic value) while imposing obligations to protect data (recognizing privacy rights). This balance is not perfect — no law is — but it is a pragmatic approach.
- • Allows data-driven innovation (economic value)
- • Requires consent and purpose limitation (privacy protection)
- • Grants data principal rights (individual control)
- • Imposes obligations on data fiduciaries (accountability)
- • Provides enforcement mechanisms (compliance)
Data is valuable — but it is not just valuable. It is also personal, and it carries human dignity. The DPDPA seeks to protect both value and dignity.
Understanding this balance is essential for effective compliance. Compliance is not just about following rules — it is about protecting both economic value and human dignity.
📖 Glossary
- Data Ownership
- The question of who has legal rights over personal data. The DPDPA avoids this question by granting rights rather than ownership.
- Data as Property
- The idea that personal data should be treated as property, with owners who can sell or license it.
- Asset Protection
- The practice of protecting valuable assets — including data — from loss, theft, or damage.
- Non-Rivalrous
- A good that can be used by multiple parties simultaneously without being depleted. Data is non-rivalrous.
🔑 Key Takeaways
- Personal data has significant economic value
- Data protection is essential to protect this asset
- Data ownership is complex — individuals, companies, and society all have claims
- Treating data as property has both advantages and risks
📚 Further Reading
- The Value of Personal Data — Journal of Data Protection (2021)
- Data as Property — Harvard Law Review (2020)
- Digital Personal Data Protection Act 2023 — Government of India (2023)
Shilpi Kulshrestha
Shilpi is a corporate lawyer with over a decade of experience in data protection, company law, and regulatory compliance. She has advised 50+ startups and enterprises on DPDPA readiness, privacy gover...