Let every team answer their own questions, on a governed semantic layer that keeps every number consistent.
Point, click, and drill into any question without writing SQL or filing a ticket.
Every metric defined once, consistent everywhere.
Push answers to dashboards, Slack, email, and alerts, so people see them where they already work.
Analysts curate trusted data once. Business users explore it on their own, by drag-and-drop or just by asking.
Your data team defines each metric once in the semantic layer, then packages the right tables and fields into curated datasets.
Self-service starts from governed, consistent data instead of the raw warehouse.
Business users drag, drop, and pivot their way to an answer, then drill and filter along the paths analysts set up.
Most follow-up questions stay self-serve, without SQL or a ticket queue.
Type a question in natural language and get a chart back.
Holistics AI is grounded in the same semantic model, so its answers stay consistent with every other report.
Keep asking follow-up questions, all without an analyst.
Slice to the country, segment, or date range you care about in an instant, without touching the underlying query.
Click any value to break it down by another dimension and see what's driving the number.
Jump from a summary chart straight into the detailed report behind it, in a single click.
Zoom from year to quarter to day on any time chart to spot the pattern.
Click a point in one chart and watch every related visualization on the dashboard update together.
Drill all the way to the raw rows behind any number, without an export, an analyst, or any setup.
Turn a report from something you read into something you act on. Open a CRM record, send a pre-filled email, or jump to another dashboard, straight from a row in your table.
Learn about Actions
Common analyses are a setting, not a support ticket.
Compose the story on a freeform canvas, on brand and on any screen.
Put data in the tools people already check, so they actually use it.
As dashboards multiply, the trusted version stays easy to find and the stale stuff stays out of the way.
Endorsement badges push trusted dashboards to the top of search and AI answers, so people land on the official version, not a stale copy.
How content endorsement works
Tag dashboards, datasets, and models by team, status, or topic — nested, color-coded, and defined as-code.
Set up the tagging system
Retire stale content without losing it — archived items leave search, pause schedules, and Holistics flags what's gone unused.
Explore content archivingBusiness users get to explore freely while the data team keeps control, through a shared semantic layer and central admin settings.
Metrics are defined once in a shared semantic layer and reused everywhere, so self-service always returns the official numbers rather than someone's private spreadsheet.
Show each person only the rows and columns they're allowed to see, enforced centrally across every report and dashboard.
Build one dashboard and let user attributes decide what each viewer sees, so you don't duplicate reports per team or client.
Control who can build, view, and share from one place. Roles and groups keep permissions consistent as your team grows.
SAML SSO (Okta, Entra ID), SCIM auto-provisioning, and two-factor login bring your existing identity stack to your analytics.
Activity logs show who accessed what, backed by SOC 2, GDPR, and regional data residency.
For the data team
Under the friendly drag-and-drop surface is a code-based semantic layer. Model your business logic as-code, version it in Git, and connect it to dbt, so self-service stays consistent as your data and team scale.
Hear from data-driven teams who've transformed their workflows with Holistics.
We evaluated BI tools across the market. I went through an evaluation process, reviewing around 41 options, including mature companies, startups, open source solutions. During that process, I stumbled upon Holistics, tried it, and liked it.
Staff Data Scientist
Aurora (NASDAQ-listed)
Excellent BI tool for customers looking for a Looker alternative. Coming from a Looker background, I was very familiar with its concepts of analytics-as-code, and we have achieved everything we needed for reporting.
Alex H
Head of Data, Pinter
The metrics dataset component is really critical for companies that don't have a real data team to build everything all the time. In the work I do, I recommend Holistics to people all the time.
Pedram Navid
Consultant/Founder, West Marine Data
The ability for everyone to explore: Massive win. The one feedback we've had over and over again from the whole company is “Man, how did you guys go through your process? Because you choose such a great tool.”
Guido Stark
Head of Data, Optimal Workshop
Holistics is the next big BI Tool. It took me 2 hours to build the same report in Holistics that I took 16 hours to build in Tableau.
Stephen Motherwell
Chief of Product, Ordo
Holistics became an excellent choice to get us going in BI without the typical huge annual expense. We have built visualizations in Holistics that took it way beyond the 'out-of-the-box' tools.
Seth L
Chief of Product, Oxbridge Health
As an analytics engineer, I was looking for a tool that allowed me a lot of data modeling flexibility and reusability. With Analytics as code, Holistics does a great job of being able to define data models and relationships using code.
Sterling P
Chief of Product, Mainspring Energy
They are great. They are continuously improving the platform and releasing new features, so we know that what we don't have right now will be at some point :)
Marta Garrido
Head of Data, MyRealFood
