Specification lookup: data quality checks
Agree what a valid source record looks like. Start with project specifications and sample technical queries and plan clause references and a draft explanation.
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The project in view
- Start with
- project specifications and sample technical queries.
- Proposed result
- clause references and a draft explanation.
- A decision to resolve
- answers assembled from different revisions.
This is a planning example. It does not describe a completed client engagement.
Data quality checks for this project
- Check project specifications and sample technical queries for completeness, conflicting versions and consistent references.
- Add a separate validation rule for answers assembled from different revisions.
- Keep unresolved records separate from clause references and a draft explanation; 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 answers assembled from different revisions 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.