Quality signals
Duplicates, outliers, GPS-outside-boundary, missing required data, and validation failures surface automatically as resolvable issues.
Features
Catch issues before they reach reports. Atlas FieldOps flags duplicates, outliers, GPS problems, and missing data, and keeps an immutable record of every review and correction.
Capabilities
Duplicates, outliers, GPS-outside-boundary, missing required data, and validation failures surface automatically as resolvable issues.
Approve clean records, return them for correction with a note, or reject — every decision carries a reviewer comment.
Clear a queue of similar issues together with one shared comment, while each record keeps its own audit entry.
Configurable matching on phone, national ID, household ID, name plus village, and GPS, with block, warn, or review actions.
Edits to approved submissions create change requests and a correction log instead of silent overwrites.
Who changed what, when, and why — recorded for submissions, entities, indicators, and governance actions.
How it works
Form validation, required evidence, and consent checks stop bad data before it syncs.
Synced submissions are scanned for duplicates, outliers, GPS issues, and gaps.
Reviewers approve, return, or reject — individually or in bulk — with comments captured each time.
Indicators and reports draw exclusively from records that passed the agreed review path.
Outcomes
Built for field reality — unreliable connectivity, multi-role teams, and the audit standards donors expect.
Explore more
Ready for field operations
See how Atlas FieldOps can support your field teams, sector workflows, entity operations, geospatial intelligence, KPI tracking, and governed reporting.