Insights
2022.4
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Insights
Last updated Apr 19, 2024

Insights Data Model

This page details the Jobs, Queues, and Robot Logs data that Insights ingests. For information around the Manual Values explores, see Templates.

The data is surfaced via Explores, which you can think of as a general entity that corresponds to the fields within it. For example, to build dashboards around Orchestrator jobs, pick the Jobs Explore. Each Explore surfaces views that contain the respective data. You can access related data from within Explores, i.e. Robot Logs are accessible from the Jobs Explore, etc.

Two terms, dimension and measure, are often used in the Insights data model tables. See their definitions below:

Dimension
Dimensions are the fields on a table, the attributes of your data. For example, the Country dimension indicates the country (France, Germany). You can aggregate these attributes and use measures for them. For more information on dimensions, check the official Looker documentation.
Measure
A measure is the calculation that is done on a dimension, on a field of table. This is a numerical attribute of your data, such as sum, average, min, or max. For more information on measure, check the official Looker documentation.

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