Service guides / Web & mobile apps
Data quality checks · Web & mobile appsQuote request configurators: data quality checks
Agree what a valid source record looks like. Start with product options and scoping rules and plan a guided enquiry with a review summary.
Available remotely for local and international enquiries. Platform choice and final scope depend on your requirements.
The project in view
- Start with
- product options and scoping rules.
- Proposed result
- a guided enquiry with a review summary.
- A decision to resolve
- showing an indicative figure as a binding price.
This is a planning example. It does not describe a completed client engagement.
Data quality checks for this project
- Check product options and scoping rules for completeness, conflicting versions and consistent references.
- Add a separate validation rule for showing an indicative figure as a binding price.
- Keep unresolved records separate from a guided enquiry with a review summary; 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 showing an indicative figure as a binding price 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.