Reporting granularity refers to the level of detail at which data is captured and reported within a management reporting system — from highly aggregated summary views to transaction-level detail. Granularity choices directly affect both the analytical capabilities of the reporting system and its technical complexity: finer granularity enables more detailed investigation and flexible aggregation but requires more storage and processing resources. The appropriate granularity level for any reporting system is determined by the decisions it is designed to support.
Why This Matters
Getting granularity right is a foundational reporting design decision. Systems built with insufficient granularity cannot answer the analytical questions that emerge as the business evolves — requiring costly re-engineering to capture data at a finer level retrospectively. Conversely, capturing unnecessarily fine-grained data increases infrastructure cost and complexity without adding analytical value. The principle is to capture data at the finest level likely to be needed for future analysis, even if current reports only use aggregated views.
Where This Fits
This term sits within the Reporting area of Performance & Control.
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