Skip to main content

63 posts tagged with "new-feature"

View All Tags

๐Ÿ“ Turn your dashboard into a narrative with AI Block

AI Block turns your dashboard's data into a written narrative - so viewers get the "so what," not just rows and bars to interpret themselves.

Write a prompt once, and use it to:

  • Summarize a dashboard: "Summarize this dashboard and call out key insights" turns your data into a short narrative viewers can read at a glance.
  • Analyze customer reviews: turn open-ended reviews into a sentiment trend and common themes, instead of reading through every one yourself.
  • Brief different viewers differently: use AI Skills in the prompt so the same block gives the Head of CS a strategic brief, Support Agents an ordered work list, and everyone else a plain summary.

The result persists as a saved block. It refreshes automatically when the dashboard opens (if Auto-run on open is enabled), and asks before refreshing when a viewer changes a source visualization.

Learn more: AI Block on dashboard

๐Ÿ–ผ๏ธ Add images and files to your AI conversations

Attaching images and files to an AI chat conversation

AI chat attachments let you add images and plain text or code files directly into your AI chat conversations for extra context.

With attachments, you can:

  • Rebuild something that lives outside Holistics: attach a screenshot of an external dashboard and ask the AI to recreate it.
  • Build out new metrics from a spec: attach a screenshot of the metrics your product team shared in Slack, and the AI drafts them for you to review and approve.
  • Analyze against a list or a number that isn't in your warehouse: attach this quarter's budget and compare it to actuals.

Supported file types:

  • Images: PNG, JPG, WebP, GIF, SVG
  • Plain text or code files: TXT, MD, HTML, CSV, JSON, XML, SQL

Learn more: Conversation Context

โš™๏ธ Automate repetitive AI work with AI Tasks

AI Tasks let you define a reusable unit of AI work once, then run it automatically - on a schedule or on demand.

Use an AI Task for work that's repetitive, doesn't need your presence, and has a clear definition of "done." Because you set explicit acceptance criteria, every run is automatically checked pass or fail, not just generated.

Use it to:

  • Automate a recurring report - summarize last week's sales by region under your team's conventions, and flag any region that moved more than 15%, every Monday morning.
  • Roll up AI Chat Insights - aggregate the past week's AI Chat Insights into a ranked list of the context gaps affecting the most conversations.

Coming soon: AI Tasks will be able to send their results to Slack and email.

Learn more: AI Tasks

๐Ÿ’ฐ See where your AI spend is going with Cost Analytics

The Cost Overview tab in AI Monitoring, showing chats count, average cost per chat, and total token cost over time

Cost Analyticsย provides a breakdown of your AI spend, so you can see where it's coming from instead of just the total. Find it under AI Monitoring โ†’ Cost analytics, with three views:

  • Cost Overview: your AI spend at a glance.
  • Cost by User: spend broken down by user.
  • Cost by Chat: spend broken down by individual chat.

Break the numbers down further by time, environment (Development or Reporting), origin (which AI feature triggered the cost), and more.

Learn more: AI Billing

๐Ÿงฑ Integrate Databricks metric views

Databricks metric view synced into a Holistics model

If a Databricks metric view already holds governed dimensions and measures, you can sync it into Holistics to build dashboards, implement embeds, and enable users to self-serve, without maintaining a duplicated definition.

At a high level, a Databricks metric view syncs into Holistics as a Table Model. Once synced, you can add the model to a dataset to build dashboards and embedded analytics.

Databricks metric view sync
  • Databricks metric view โ€” Dimensions and measures already governed in Databricks
  • Holistics
  • Model โ€” Dimensions, measures, descriptions, and labels detected and synced automatically
  • Dataset โ€” Add the synced model to a dataset to use it in reports
  • Dashboards
  • [HTML node]
  • metric-view โ†’ model
  • model โ†’ dataset (add to)
  • dataset โ†’ dashboards (build)

Learn moreโ€‹

โ„๏ธ Integrate Snowflake semantic views

Snowflake semantic view synced into a Holistics model

If a Snowflake semantic view already holds governed dimensions and measures, you can sync it into Holistics to build dashboards, implement embeds, and enable users to self-serve, without maintaining a duplicated definition.

At a high level, a Snowflake semantic view syncs into Holistics as a Table Model. Once synced, you can add the model to a dataset to build dashboards and embedded analytics.

Snowflake semantic view sync
  • Snowflake semantic view โ€” Dimensions, facts, and metrics already governed in Snowflake
  • Holistics
  • Model โ€” Dimensions, facts, metrics, and descriptions detected and synced automatically
  • Dataset โ€” Add the synced model to a dataset to use it in reports
  • Dashboards
  • [HTML node]
  • semantic-view โ†’ model
  • model โ†’ dataset (add to)
  • dataset โ†’ dashboards (build)

Learn moreโ€‹

๐ŸŒ“ Light & dark mode dashboard theme

Following the launch of dark mode, we're introducing light & dark mode dashboard theme.

How it worksโ€‹

Each viewer sees Holistics in either light or dark mode, depending on their user settings. When you assign a theme to a dashboard, you can now choose how that theme responds to each viewer's mode:

  • One theme for both modes: Everyone sees the same theme, regardless of their app mode.
  • A theme per mode: Each viewer gets the theme matching their mode.

Learn more: Create & apply a theme | Syntax reference

๐ŸŒ™ App dark mode

Working long sessions in Holistics with a fixed light interface causes real eye strain. We've added dark mode as a personal preference:

  • Switch between light, dark, or system mode at any time from your profile settings.
  • The entire app updates instantly, including navigation, backgrounds, dialogs, and controls.

Your assigned dashboard theme stays static, but you can set separate themes for light and dark mode with light & dark mode dashboard theme.

Learn more: Switch to light/dark mode

๐Ÿ” Trace AI-triggered queries and jobs

Trace AI-triggered queries and jobs is now available across the Jobs API and warehouse query comments. You can now tell whether a query was triggered by AI, through which surface, and how the caller authenticated.

Previously, query metadata had no way to distinguish an AI-triggered query from a normal human-driven one, making it hard to attribute warehouse cost or audit usage by origin as AI usage grows.

Learn more: Trace AI-triggered queries and jobs

๐Ÿ“ Markdown: updated to be part of your analytics

Markdown documentation makes every .md file in your project a first-class object. Previously, a Markdown file was only text: frontmatter appeared as raw characters, and docs were disconnected from the analytics they explained. Now, frontmatter renders as a Properties panel, while Markdown links connect docs to related documents, models, datasets, and dashboards.

This keeps business context, modeling logic, and decisions alongside the analytics they explain, rather than buried in separate wikis.

What you get:

  • YAML frontmatter rendered as structured metadata, making key information easier to scan.
  • Links to other Markdown files and Holistics objects, including models, datasets, and dashboards.
  • AML source without leaving the doc - Ctrl+hover a resolved link to read its highlighted source.

The same metadata becomes the groundwork for AI retrieval: agents will be able to narrow to approved context before answering, instead of scanning the whole project.

Learn more: Markdown for analytics context