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- IoT Data Analytics
- Features
- Reading operations
Reading operations
Register observations and validate the readings attached to each stream.
OverviewReading acceptance queue×
IoT Data Analytics · Reading operations
New
Reading acceptance queue
Approval conditions
| Sequence | Observed on | Outcome | Parent | Source reference | Quantity | |
|---|---|---|---|---|---|---|
| 90 | 10 Oct | Pending | SS-25888 | SR-134 | 470 | |
| 70 | 19 Oct | Pending | SS-98797 | SR-162 | 940 | |
| 20 | 11 Oct | Pending | SS-41886 | SR-322 | 260 | |
| 90 | 08 Oct | Pending | SS-41051 | SR-632 | 800 | |
| 50 | 27 Oct | Pending | SS-24744 | SR-126 | 200 |
6 of 6 records
SR-134Sensor readings · SR-72674
PendingSequence90
Observed on10 Oct
ParentSS-25888
Quantity470
What you can do
Register and validate readings
The Stream Owner begins collection for a configured stream. Each reading carries its parent stream, observation date, source reference, collection basis and measured quantities. The Operations Analyst inspects the incoming scope and assigns an outcome. Registration uses an operation key so a repeated request can resolve to the existing operation rather than creating another run.
How the work is organized
- Collection. The Stream Owner connects each observation to its parent stream and source reference.
- Outcome. The Operations Analyst records whether a reading is pending, accepted or rejected.
- Registration. A run records the operation key, frozen source revision and numbered steps.
A validated stream supports anomaly review and metric reconciliation. The operation run retains the frozen revision and input hash, while the step records give a clearer account of where a failed attempt stopped. A later correction should create a successor revision.
What to agree during setup
Agree how source references identify repeated observations. Decide what evidence makes a reading accepted and who handles rejected readings. The team should know when a stream may move from collecting to validated and how to explain that transition to a reviewer.
Rehearse a repeated registration request before adding more sources. The Operations Analyst should find the earlier run using the same operation key and check the reading outcome. Also try a rejected observation: keep its source reference and rejected outcome instead of counting it among eligible readings.
Check the handoff on an actual case
Take a reading that arrives twice under the same source reference. The analyst checks the operation key and the prior run, compares the observed date and quantity, then records one outcome for the intended observation. The numbered steps retain what was attempted. After inspecting the accepted scope, the analyst validates the stream and checks its state history.
Ask the Stream Owner to find the accepted and rejected readings for the same parent stream. The Operations Analyst then checks the run steps and state history before calling the stream validated. A second request using the same operation key should point to the existing run.
The owner and analyst should agree how late observations enter an existing stream. Check their observation date and source reference before accepting them into the calculation scope. That keeps later metric comparisons tied to the readings that were actually considered.
What your team sees
- Reading acceptance queue — Readings awaiting an accepted or rejected outcome.
- Accepted readings — Accepted readings with their source stream and observation date.
Follow the work through
See the related process for the handoff and the data model for the connected records.
What it keeps track of
Data model- Sensor readings
- Consented observation-level session and conversion event facts.
- Sensor streams
- Measured web properties with lifecycle status and observed outcome fields.
- Operation runs
- Workflow execution runs with frozen revision, input hash and result identity.
- Operation steps
- Numbered steps of an operation run with input/output and receipt state.
- State history
- Immutable lifecycle transition history for each source.
Who uses it
Permissions- Stream Owner
- , Operations Analyst, Admin.
Set up IoT Data Analytics your way.
Start free, then use Proto to change fields, steps and approvals before your team goes live.