Daily use also requires a plan for new data, errors, changes and different access rights.
Keep data current and traceable
Define how new information is ingested and existing information is corrected or removed. An operating process should expose missing deliveries and failed processing.
For automatic retries, consider whether a transaction may run again and how duplicate results are prevented.
Respect access rights throughout
Source permissions must align with application use. Test output from the perspective of different roles and account for later permission changes.
Evaluate changes before release
New data, configuration or model versions may change results. A fixed collection of business-evaluable tasks helps reveal differences before approval.
Document which version was evaluated and how a change can be reversed.
Assign responsibilities
Users need a clear contact for ambiguous results or outages. Technical and business responsibilities complement each other.
- Who reviews data quality and business results?
- Who handles technical incidents?
- Who approves changes?
- How are urgent cases escalated?
Observe value in everyday work
Look beyond technical availability. Actual use, necessary corrections and support effort also matter. Agree on how these observations inform future development.
Moving into operations
Describe data maintenance, evaluation, responsibilities and error handling together before introduction. Prioritize open issues and assign each to a responsible team.