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Storage-Centric Architectures Limit Data Use

Many data systems are designed around storage efficiency rather than usability.

AI & Regulated DataJune 2025

Summary

Many data systems are designed around storage efficiency rather than usability.

Data is collected and persisted, often in lakes or warehouses, but not structured for reuse across contexts.

This creates environments where data exists but cannot be easily integrated, analysed, or shared.

The absence of transformation layers, interoperability mechanisms, and governed access controls limits the value of stored data.

Effective systems are designed for use.

This requires:

  • structured transformation pipelines
  • interoperable data models
  • controlled and auditable access

Storage is a component of infrastructure.

It is not the objective.

Interested in collaborating?

If this perspective resonates and you are exploring collaboration across research, governance, or secure data environments, I welcome the conversation.

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