KPI Source Data Reconciliation | ERP tutorial
A practical and auditable method for KPI Source Data Reconciliation in non-regulated manufacturing operations.
Learning objective
Complete preparation, execution, review and evidence closure for KPI Source Data Reconciliation.
Roles
Business owner, operations, IT and approvers
Prerequisites
- Approved blueprint, RACI, sample data, test environment and evidence fields.
Completion checks
- Results trace to source, owner, timestamp, version and approval.
- Normal, boundary, returned, retry and failure cases have closure evidence.
Common errors
- Testing only the happy path.
- Treating defaults as approved rules.
- Omitting version, owner or exception-closure evidence.
Thailand project note
Thailand implementations should confirm multilingual fields, THB/foreign-currency display, Asia/Bangkok timezone, segregation of duties, access control and retention. VAT, WHT, BOI, customs, statutory accounting, legal or regulatory conclusions require qualified Thai professional review; this is not advice.
Steps
- 01
Define objectives, owners, inputs, outputs and boundaries for KPI Source Data Reconciliation.
- 02
Create registers for objects, status, version, samples, owners and exceptions.
- 03
Run the check in a test or controlled environment and record time, operator, result and exceptions.
- 04
Check rules, permissions, mandatory fields, versions and exception paths against the approved blueprint.
- 05
Sample evidence, close variances and obtain business-owner confirmation of next actions.
Implementation notes
- Validate in a test or controlled environment before wider rollout.
- Record rules, versions, approvers and exception closure times in acceptance evidence.
References
- 从车间到全球的“智造”链路如何打通？用友U9 cloud 用实践给出方向！ ↗用友U9 cloud · Accessed: 2026-08-27