Service guides / Web & mobile apps
Data quality checks · Web & mobile appsService request portals: data quality checks
Agree what a valid source record looks like. Start with request categories and assignment rules and plan a request submission and progress view.
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The project in view
- Start with
- request categories and assignment rules.
- Proposed result
- a request submission and progress view.
- A decision to resolve
- updates without clear ownership.
This is a planning example. It does not describe a completed client engagement.
Data quality checks for this project
- Check request categories and assignment rules for completeness, conflicting versions and consistent references.
- Add a separate validation rule for updates without clear ownership.
- Keep unresolved records separate from a request submission and progress view; record the reason rather than silently filling a gap.
Questions to answer together
- Which fields, references or measurements must be present?
- How are duplicates, contradictions and missing values reported?
- Which corrections require confirmation from the source owner?
What to have at the end
A validation checklist with examples of valid, rejected and unresolved records.
Record the decision on updates without clear ownership alongside the source material. If it is still unresolved, identify who can answer it and what work depends on the answer.
Prepare your enquiry
Use this as a starting point. Add your current process, available examples and constraints before sharing.
Send your completed brief to hello@iansamonte.com or visit the main page to discuss your project.