Punctuality
The degree to which the period between the actual and target point of time of availability of a dataset is appropriate.
- •Reliable and predictable delivery of data and reports according to agreed schedules.
- •Smooth execution of time-dependent business processes and workflows.
- •Improved planning and coordination as stakeholders can count on timely information.
- •Enhanced trust in data providers and information systems.
- •Delays in critical business processes if data or reports are not delivered on time.
- •Disruption to planning and decision-making cycles.
- •Wasted resources and inefficiencies waiting for late information.
- •Reduced confidence in data delivery reliability, leading to workarounds or mistrust.
Duration
The period between the actual and target point in time of availability of a dataset (days, hours, minutes).; Percentage of times that datasets were available too late (or too early).
Logistics: Vessel stowage plans are consistently available in the system 24 hours before estimated vessel arrival, as per the agreed service level.
Finance: Regulatory compliance reports are submitted to the authorities by the official deadline without exception.
Supply Chain: Daily inventory status files from third-party warehouses are received every morning by 8 AM as scheduled.
Logistics: The daily sales report for container volumes, expected by 9 AM for the morning planning meeting, often arrives after midday.
Finance: Month-end financial statements, required by the 5th working day, are consistently delivered on the 10th.
Supply Chain: Advance shipping notices (ASNs) from a supplier, due 24 hours before delivery, frequently arrive only a few hours before or even after the goods.