Consistency (Temporal)
The degree to which the data values of a set of attributes of a dataset at different points in time comply with a rule.
- •Reliable tracking of changes and states over time.
- •Accurate historical analysis and trend identification.
- •Trustworthy audit trails for transactional data.
- •Predictable behavior of time-series dependent models and forecasts.
- •Inability to accurately reconstruct historical states or event sequences.
- •Misleading trend analysis if data changes illogically over time.
- •Compromised audit trails and difficulty in investigating historical transactions.
- •Unreliable time-series forecasts or AI models.
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Logistics: Monthly revenue figures consistently sum up to the correct quarterly and annual totals when aggregated over time.
Banking: An account's transaction history, when replayed, always results in the currently reported balance.
Inventory: If an item's stock level decreases, there is a corresponding sales or stock adjustment record; if it increases, there's a purchase or return record.
Logistics: A container's status changes from 'Gated Out' back to 'In Yard' in the system's event log without a corresponding gate-in event record.
Banking: A customer's account balance for yesterday is reported as $100, but today's report for the same historical date shows $150 without any correcting transaction.
Inventory: The stock level of an item is recorded as 50 units at 9 AM, then 40 units at 10 AM (due to a sale), but then back to 50 units at 11 AM without any new stock arrival record.