Know Immediately When Your Data Arrives Late
digna Data Timeliness monitors whether your data arrives on time, combining AI-learned arrival patterns with user-defined schedules to ensure data contracts are upheld.
How digna Data Timeliness Works
The module learns delivery patterns when data is delivered allowing you to get instant alerts when data is missing or late.
Automatically learns delivery patterns whenever data is delivered. No manual setup needed — it detects when data is missing or late.
If your organization has strict data contracts, you can define exact expectations. digna watches for violations and alerts accordingly.
Use Case: Mobility Data Hub Monitoring
Detect and resolve late data deliveries:
Data Source | Data Set | Last Profile | Expected Time | Days Overdue |
|---|---|---|---|---|
mobility_data_hub | Region-Gamma | 01/06/2025 | 03/06/2025 17:00:00 | 🔴 5 days, 0.5 hours |
mobility_data_hub | Region-Delta | 28/05/2025 | 04/06/2025 23:30:00 | 🔴 3 days, 18 hours |
mobility_data_hub | Region-Epsilon | 30/05/2025 | 06/06/2025 00:00:00 | 🔴 2 days, 17.5 hours |
mobility_data_hub | Region-Alpha | 25/05/2025 | 08/06/2025 12:00:00 | 🟢 In-Time |
Outcome: digna identifies regional delays in mobility data, enabling teams to prioritize fixes for Gamma (5-day backlog) over Alpha (2-day delay).
