De-aggregate by simply splitting the aggregated data into smaller, arbitrary chunks without any specific method.

Use statistical methods to infer granular details from aggregated data, ensuring integrity through validation against original sources.

Avoid de-aggregation to maintain the simplicity of the data.

De-aggregate by duplicating the aggregated data multiple times to create the illusion of granularity.