Insights FAQ

Aarthi
Aarthi
  • Updated

What can Benchling Insights do and how do I get it?

For an overview of Insights capabilities and limitations, visit Insights basics.

How do I navigate the application and set up graphs?

To query data in Insights, visit Manage Insights dashboards and queries.

As a registry admin, how do I control the permission controls for my tenant?

To learn how Insights permissions are determined and what users can do based on their permissions, visit Insights permissions overview

What happens when you have None Access to the dashboard? 

You will not see any graphs or data, and you will be prompted to request access from your Registry Admin.

Can I query data from projects I do not have permission to? 

No, you will only see the data that you have access to. For example, if there are certain proprietary entities that should not be queried by certain teams within the organization, then said users are not able to be queried.

Where is the documentation for tables that are stored in the warehouse?

You can find the warehouse table diagram in our developer documentation. To view a magnified version of the image, right-click to download. 

How come the tables in the docs.benchling.com documentation do not match what I see in the insights application?

The tables listed on docs.benchling.com show general schemas, and act as an example of how the tables would look in your environment. Your actual tables will be different based on how your organization’s schemas were set up.

What is the difference between a ‘regular’ and a ‘$raw’ table?

A regular table is a validated set of entities fewer columns and fewer rows; archived and deleted values are excluded. For example, Results tables in unreviewed entries could be queried through the $raw tables but not the regular tables.

Why are ids listed in the form “ent_fhgTCjd” and where can I get the actual name of items in the warehouse?

These are Benchling-specific

Where can I learn more about SQL?

For common SQL queries used to query Insights data, visit SQL basics video series. For additional training, we recommend online resources, like W3Schools and Khan Academy.

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