Curate A Central Metrics Repository
Data team builds and maintains analytics logic in Holistics semantic modeling layer.
Holistics is a self-service BI platform
Self-service analytics with confidence
Holistics allows everyone to quickly get answers to data questions without learning SQL.
No more “request queue frustration” for both business & data teams. Analysts can now focus on high-impact analytics work.
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In Closed Beta: Analytics as Code
Watch a 3-min Walkthrough
How Holistics works
With Holistics, after data teams define metrics using code, end-users get a simple drag-and-drop interface to explore data and build charts on their own.
Perform Self-service Analytics
Non-technical users analyze and build their own charts without writing SQL.
Collaborate & Share Analysis
Share insights with stakeholders with a single click. Push charts to email, Slack, webhooks & more.
Self-service Analytics
Bring Self-service Analytics To End Users
Analysts prepare curated datasets and share with non-technical users for self-service exploration.
Because analytics logic is carefully maintained and curated, business users can trust the data and focus on gathering insights.
Analysts now focus on high-level impact work. No more “request queue frustration” for both business and data teams.
Semantic Modeling Layer
Define Reusable Logic. Never Have To Repeat Yourself
No more writing the same SQL queries over and over again.
Analysts manage business logic centrally in Holistics' semantic modeling layer. Analysts define data models once and reuse them anywhere, anytime.
Dual Code & UI Modeling View
Use Both UI and Code View For Modeling
Use UI view to easily build new models or understand how a model works.
Use Code view when analysts need to copy and paste the entire code from one model to another, without having to start from scratch.
Git Version Control
Check Analytics Logic Into Git Version Control
No more unexpected broken dashboards. Leverage functionalities of Git and Git providers like PR Review, Branch Protection, and more.
Know who changes what, when. Subject your models and dashboards development to the same rigorous workflow of software development.
dbt Integration
Integration With dbt
Holistics integrates deeply with dbt, allowing metadata from dbt to be surfaced to the BI layer.
Leverage dbt as a central place for data documentation and use Holistics as the central entrypoint for data consumers.
Helping non-technical users achieve self-service analytics with great confidence
The Old World
Data Team is overwhelmed with ad-hoc requests from business users.
Multiple different SQL definitions of the same business logic across the entire system render bulk-update impossible.
Data consumers turn into data skeptics as different reports give different values for the same metric.
The New World, With Holistics
Business Users perform ad-hoc data exploration without writing SQL or bothering Data Team.
When business logic changes, data teams only need to update once, and the change will be reflected across all related reports AUTOMATICALLY.
All metrics are defined once, all reports give the same value for the same metric.
With Holistics in our setup with BigQuery and dbt, if we have a new dataset available and we want to implement it, we can literally do it in like two hours from start to finish, including all the descriptions and metrics, as compared to probably 10 to 12 hours in our previous tool.
We really like the clean look and feel of creating reports and adding them to a dashboard. The main feedback from our business users was when are we getting more data ready to use?
Olaf V., Senior Intelligence Analyst at Feeld
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Mark MacArdle
Data Engineer
