Service guides / SaaS development
Data quality checks · SaaS developmentProperty maintenance: data quality checks
Agree what a valid source record looks like. Start with sample work requests and contractor assignments and plan a request-to-resolution workflow.
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The project in view
- Start with
- sample work requests and contractor assignments.
- Proposed result
- a request-to-resolution workflow.
- A decision to resolve
- closing work without completion evidence.
This is a planning example. It does not describe a completed client engagement.
Data quality checks for this project
- Check sample work requests and contractor assignments for completeness, conflicting versions and consistent references.
- Add a separate validation rule for closing work without completion evidence.
- Keep unresolved records separate from a request-to-resolution workflow; 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 closing work without completion evidence 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.