When a user clicks "drill down" or "break down," the default dimension list displays all available dimensions from the dataset. Holistics allows you to customize this dimension list to enhance your users' experience.
For example, you can highlight the most relevant dimensions and organize them into groups such as Locations, Products, and User Demographics as shown in the video below.
When viewing underlying data, the default table shown may not always be relevant to users' needs. Now, you can customize different views of the underlying data to enhance your users' experience.
In this example, when examining the underlying data for the Revenue metric, users can select from different views, such as Orders, Users, or Products.
Before: New dashboards automatically inherited the base Holistics look, meaning users had to manually spend time aligning new dashboards with your structural and brand requirements.
Now: Admins can define one master template that is automatically applied to every new dashboard created.
This guarantees organizational consistency from the moment a user starts building their dashboard.
Step 1: Create a template: A dashboard template can include:
Visual styling (themes, colors, branding)
Structured layouts and pre-configured components
Defined block interactions, and much more.
Step 2: Set the default template: Once marked as the default, this template will be automatically applied to all new dashboards across the organization.
Keeping your workspace clean is important, but determining which content is actually unused is the challenging part. We are excited to introduce Archive Recommendations, a smart feature that automatically identifies inactive content so that you can archive with confidence.
Great news, the Merge Request workflow for GitLab has officially been released.
This is a new feature that brings our PR Workflow goodness to GitLab MRs so you can review, approve, and ship analytics changes using the process your team already knows.
What you will get:
⚡ One-click MR creation from Holistics, with AI to draft the MR title and description.
🔈 Live MR status inside Holistics — no more tab-hopping to GitLab.
🔀 Auto-publish on merge: when an MR is approved and merged into your master branch, the changes publish themselves.
👀 Better visibility and control over changes, helping keep data reliable and audits painless.
If your team runs on GitLab, this will make reviews smoother, governance tighter, and shipping safer — without changing how you work.
Have you ever received JSON data in your dataset and wished you could unnest it right there, without having to go back and modify your data model?
Previously, you'd need to:
🔙 Navigate back to the model
🛠 Create a SQL dimension
✍ Write custom SQL just to extract fields
Why? Because AQL doesn't yet have built-in support for these database-specific functions (like JSON unnesting).
Now, with SQL Passthrough for AQL, you can do this directly in your dataset! 🎉
No more back-and-forth — just write AQL and leverage native SQL functions to handle JSON (and much more).
This isn’t limited to JSON unnesting — any database-specific functionality not available in AQL can now be tapped into using passthrough.
👉 How it works:
SQL Passthrough functions act as a bridge, letting you call native SQL functions from your underlying database while maintaining type safety inside AQL queries.
Filter Visualization Directly on the Dashboard: You can now apply filters to any widget right from the dashboard. No need to pre-create filter controls or open the full data exploration. There are two ways you can do that:
Format fields directly where you work — data type and display format settings are now directly accessible from the field menu or table context menu, keeping you focused on the field you are editing.
Quickly search within the field settings menu to find the right format, aggregation, or other actions you need.
By bringing format settings into the field menu and table context menu, we reduce context switching — which in turn helps avoid mistakes and enables you to update formats more quickly.
