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Data quality checks · Web & mobile apps

Team task apps: data quality checks

Agree what a valid source record looks like. Start with task fields and assignment rules and plan a mobile task update and handover journey.

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
task fields and assignment rules.
Proposed result
a mobile task update and handover journey.
A decision to resolve
conflicting edits and lost status changes.

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

Data quality checks for this project

  • Check task fields and assignment rules for completeness, conflicting versions and consistent references.
  • Add a separate validation rule for conflicting edits and lost status changes.
  • Keep unresolved records separate from a mobile task update and handover journey; 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 conflicting edits and lost status changes 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.