Data Value & Extraction Dynamics

Data Without Pricing Becomes Misused by Default

by Shimon|11 June 202613 June 2026|Data Protection Economics, Data Value & Extraction Dynamics

Data access is rarely treated as a decision. It is granted. Once a dataset exists, it is shared across teams, environments, and use cases with minimal friction. Denying access introduces delay and coordination overhead; granting access feels reversible and low-risk....

Data Hoarding Is Incentive-Optimal

by Shimon|28 May 202629 May 2026|Data Protection Economics, Data Value & Extraction Dynamics

Data is rarely deleted. It persists in warehouses, backups, and replicated environments long after its purpose has faded. Teams hesitate to remove it—what if it’s needed later, what if deletion breaks something, what if it becomes valuable again. The safer...

The Point Where Data Stops Paying for Itself

by Shimon|14 May 202621 May 2026|Data Protection Economics, Data Value & Extraction Dynamics

Data collection rarely presents itself as a decision. It accumulates. New fields are added to forms, logs are retained indefinitely, and integrations expand quietly across systems. Each addition is justified in isolation—future analytics, potential insight, optionality. The marginal cost appears...