Service guides / Web & mobile apps
Data quality checks · Web & mobile appsInternal dashboards: data quality checks
Agree what a valid source record looks like. Start with sample metrics and role permissions and plan a task-focused dashboard.
Available remotely for local and international enquiries. Platform choice and final scope depend on your requirements.
The project in view
- Start with
- sample metrics and role permissions.
- Proposed result
- a task-focused dashboard.
- A decision to resolve
- misleading metrics from incomplete data.
This is a planning example. It does not describe a completed client engagement.
Data quality checks for this project
- Check sample metrics and role permissions for completeness, conflicting versions and consistent references.
- Add a separate validation rule for misleading metrics from incomplete data.
- Keep unresolved records separate from a task-focused dashboard; 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 misleading metrics from incomplete data 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.