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You donโ€™t need a national survey to know that most data teams rebuild the same charts again and again across different dashboards. Weโ€™ve all been there, staring at a new dashboard request and thinking "I know we've built something like this before..."?

Your best dashboard components deserve to live multiple lives, not buried in some report from last quarter, waiting to be rebuilt from scratch.

With Reusable Component Library, every visualization you create can become a building block for future dashboards. Think of it as your team's collective intelligence, transformed into drag-and-drop components. When you need it again, simply grab it from your library, tweak it, and you're done.

And we're just getting started. Soon, you'll be able to reuse entire metrics and datasets too.

For more information, please visit our documentation


Tracing and investigating file changes has never been easier!

๐ŸŽ‰ What's Newโ€‹

Now you can directly access your files on GitHub / GitLab with a single click, right from the Holistics interface:

  • View source code directly in GitHub/GitLab
  • Access Git blame to track code changes and authorship
  • Review complete file history and previous versions

This enables seamless navigation between Holistics and your Git repository.

๐Ÿ‹ Why This Mattersโ€‹

If you ever wondered "Who modified this data model?", "When did it happen?", or "Why?", then this feature is for you.

Our new Git integration lets you answer these questions instantly. Whether you're debugging an issue, reviewing changes, or understanding the evolution of your data models, you now have direct access to the full history and context of your code.

Give it a spin, and let us know your thoughts. Cheers! ๐Ÿป


Note: This feature is currently available for GitHub and GitLab repositories only. Support for other Git providers will be announced in future updates.


You can now fully customize Schedule and Alert messages with system variables! This gives you complete control over notification content while saving time with dynamic variables.

Key Featuresโ€‹

  • Full message customization (no more fixed templates!)
  • System variables support (e.g., {{dashboard title}}, {{this month}})
  • Live preview functionality
  • One-click restore to default template

Documentationโ€‹


Period Comparison has consistently been a favorite among our customers, serving as an early tool to facilitate period-over-period analysis (PoP). However, ongoing customer feedback has highlighted its limitations in flexibility and customizability.

Leveraging our robust AQL foundation, we have developed a new and advanced PoP feature. This enhancement combines the power of AQL with an intuitive user interface, capable of handling all the use cases that the previous version could not accommodate. Key improvements include:

  • The ability to apply comparisons to individual measures of your choice, rather than to all measures in a visualization.
  • Support for comparing multiple periods simultaneously.
  • Options for applying conditional formatting and custom styling.
  • The capability to set data alerts on PoP measures.

These enhancements are designed to offer a more versatile and user-friendly experience, meeting the diverse needs of our user base.

You can learn more about the new feature here: Period-over-Period Comparison


Here's a cool experimental feature that our team hacked together: A Google spreadsheet extension that allows you to self-serve BI datasets directly in Google Sheets.

It works in 4 simple steps

  1. Connects to BI environment
  2. Let end users self-serve BI datasets (like a pivot table)
  3. Sync results directly as google sheets table
  4. Set custom frequency for refreshing data

This will be very useful for users who prefer working with spreadsheets, yet need the reliability of a centralized BI system.

Note: This is an experimental project (born out of our recent hackathon). If youโ€™re a customer of Holistics and interested, fill our Early Request Form here and weโ€™ll let you know when itโ€™s available for beta.


Now, admins, and analysts can grant explorers the create/edit/delete permission to dashboards in the public workspace. Once granted, explorers will have the Quick Edit experience to create/edit dashboards:

  • Only UI-based editing, no code-based editing, and
  • No branching request/merging is required

Notes:

  • All changes are saved as code in your repository for consistency and traceability.
  • This feature will be available for not only the 4.0 but also the 3.0 Holistics version.
  • Explorers still wonโ€™t be able to create/save Canvas Dashboards into their own Private Workspace

Try it out and let us know how it works for you! ๐Ÿ˜Š


You can now set up Data Schedules (or Alerts) for multiple Slack channels! ๐ŸŽ‰
This enhancement is designed to give you more flexibility and control, making it easier to manage and streamline your data deliveries to Slack.

Try it out and let us know how it works for you! ๐Ÿ˜Š


You can now export entire dashboards directly to Excel! ๐ŸŽ‰

This update is designed to saves you time and effort, letting you download your dashboard as a single Excel file in just a few clicks.


Level Up Your KPIs with New Styling Options โœจ ๐ŸŒŸ ๐Ÿ˜

With our new styling options, you are now empowered to make your KPIs more visually impactful. Adjust font size, font color, text alignment, and explore unique styles for each comparison type ๐Ÿ™Œ

Ready to give your KPI Metrics a dazzling makeover? Share your styling creations with us! โœจ๐ŸŽ‰