Dashboards & data

Trustworthy dashboards need reconciliation rules

Two screens can show different totals because they measure different events or refresh at different times. Make these differences explicit before changing a chart.

Illustrative concept: Trustworthy dashboards need reconciliation rules
ASHA TECH Illustrative concept · Sample data

This is the English briefing. The full Thai guide includes additional examples and checklists. ไทย ↗

The practical takeaway

Document the source, business key, event date and update schedule for each dataset. Keep cancelled, returned and deleted records in a defined policy.

Define the records and rules

Document the source, business key, event date and update schedule for each dataset. Keep cancelled, returned and deleted records in a defined policy.

Connect the operational workflow

Reconcile counts and amounts at agreed checkpoints. Distinguish a temporary refresh delay from a missing or duplicated record.

Checks before implementation

Give data-quality exceptions an owner and resolution history. Add checks for missing mappings, duplicate keys and unexpected changes in volume.

Further reading from primary sources

These references support the standards and integration topics discussed. Workflow examples and figures illustrate system design.

Sources checked: 11 October 2026. Confirm current API access and requirements before implementation.

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