As data is accessed less frequently, the value of the data:

Data value is often tied to its recency, relevance, and frequency of access; when data is accessed less frequently, it typically signifies a reduction in its immediate operational or business value. This decline in value often leads to data being moved to colder storage tiers or eventually archived or deleted as part of a data lifecycle management strategy.

Data value is dynamic and rarely stays the same indefinitely, especially with changes in access patterns.

It is uncommon for data's value to increase solely due to less frequent access; value typically increases with new insights, renewed relevance, or analytical breakthroughs.

Even if accessed infrequently, data often retains some residual value, such as for compliance, historical analysis, or potential future use, meaning it rarely has no value at all.