Questions, answered

Click Get started, then use Proto to configure IoT Data Analytics for your business. Begin with one stream, an effective sensor definition, representative readings and the people who own validation and review.

A stream is the measured source with its organization, owner, definition, source record identity, date, status and revision. Readings and decisions link back to it.

The analyst inspects readings linked to a stream, records their outcomes and validates the source. The registration run uses an operation key to handle a repeated request.

The analyst compares the observed value with the effective bounds and checks the quality flag. The run is marked successful after the stream fields are read back. A required reviewer decision stays tied to the source revision.

The Independent Reviewer records the decision, reason and evidence reference for the exact source revision. Agree that handoff during setup.

A manual reconciliation uses eligible readings and an approved metric definition. The result is linked to its source and operation run, with a guard for a zero denominator.

The owner writes a successor revision. Earlier runs, state history and metric results remain available for comparison.

The operational overview includes an overdue follow-up exception queue. Each action has an assignee, due date, status and resolution.

Agree the measurement source and field mappings during setup. Snapshots record their source system and coverage window so the team can inspect the input context.