PlatformAnalyse
Look at the data over time, see what happened and keep a record
Analisi is where the series in your data are read: orders, takings, revenue. You compare them, annotate them and save them, and an analysis can lead to a query.
- Signals
- Orders, Takings
- Condition
- Takings below threshold
- Cursor Δ
- −12% between two weeks
- Annotation
- Promotion ended
- Version
- v3
Saved with its versions.
Illustrative example
To see what changed, and when
Signals, XY and 3D
Several signals on the same time axis, an XY chart to set one against another and a 3D scatter view.
Conditions and layers
Define a condition on the data and align several layers on the event, to see what surrounded each occurrence.
Measure and annotate
Cursors with the difference (Δ) between two points, annotations on the chart and reference lines, also diagonal on a time axis.
Saved, with versions
An analysis is saved and you keep its versions. You can share it with a public link or put it on a dashboard.
How it works
- 01
Pick the signals
Start from the project's measures and put them on the chart: for example orders and takings of the same week.
- 02
Read and annotate
Add a condition, align the layers on the event, measure with the cursors and leave a note where it helps.
- 03
Save and share
Save the analysis, open «Nuova query da qui» (new query from here) to reuse a series, or share it.
In detail
- Views
- Signals over time, XY, a 3D scatter view.
- Tools
- Conditions, layers aligned on an event, cursors with Δ, annotations, reference lines.
- Saving
- Analyses saved with their versions.
- Public link
- A link to an up-to-date analysis, opened without an account.
- Dashboard
- An analysis can appear on a dashboard as the «Vista di Analisi» widget.
- Recurring patterns
- A separate module, under Analisi: patterns searched by example, by sequence or discovered in the data, with «Segui sui dati nuovi» (follow on new data).
Also in Analyse
- QueriesA SQL editor with saved queries, the base of every dataset.
- NotebooksText and analysis cells, printable to PDF.
- FunctionsPython on a fixed base: pandas, scipy, scikit-learn, onnxruntime and joblib.
- FlowsThey run functions on a schedule, Replay history and write to managed tables.
- PredictorsAnomalies, forecasts with a band, virtual sensors and probabilities, built from a query in four steps.
Frequently asked questions
Yes: «Nuova query da qui» makes a query from the series you are looking at.
No. The link shows the up-to-date analysis without an account.
It looks for patterns that repeat: from an example, by sequence, or discovered in the data. It shows their occurrences and what comes before them. It is a separate module.
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