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Data quality checks · Web & mobile apps

Stock lookup apps: data quality checks

Agree what a valid source record looks like. Start with sample stock records and refresh intervals and plan a staff-facing availability lookup.

Available remotely for local and international enquiries. Platform choice and final scope depend on your requirements.

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The project in view

Start with
sample stock records and refresh intervals.
Proposed result
a staff-facing availability lookup.
A decision to resolve
cached stock being treated as live availability.

This is a planning example. It does not describe a completed client engagement.

Data quality checks for this project

  • Check sample stock records and refresh intervals for completeness, conflicting versions and consistent references.
  • Add a separate validation rule for cached stock being treated as live availability.
  • Keep unresolved records separate from a staff-facing availability lookup; 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 cached stock being treated as live availability 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.

Email Ian

Send your completed brief to hello@iansamonte.com or visit the main page to discuss your project.