Centralized Analytics Logic
Maintain a central store of analytics. Define metrics and analytics logic once, reuse in multiple reports.
Holistics is a self-service BI platform
Self-service analytics, with DevOps best practices
Holistics helps data teams set up self-service BIs that are reliable and easy to maintain.
How? By applying software's best practices to analytics development:
• Define analytics logic once, reuse in multiple reports
• Build reports and metrics using code and Git
• Prebuild datasets for self-serve exploration
Everyone can now self-serve data with confidence.
Free 14 day trial. No credit card required.
Watch a 3-min Walkthrough
Define Analytics using Code
Define models & build reports using code. Check in Git for version control. Go through code review process.
Self-service Analytics
Analysts prepare and curate datasets. Business users can self-serve data without writing SQL.
Semantic Modeling Layer
Define analytics logic in one single place
Define analytics logic in one place. Build reports off these well-defined metrics and dimensions.
- Reusable: Update business logic once, auto-propagate to all reports
- Accuracy: Metric definitions are consistent across different reports
“The semantic layer is Holistics’ biggest draw because I was able to build reusable models, dimensions, metrics, and then describe them as code.”
Sterling Paramore
Sr Staff Data Engineer, Mainspring Energy
Analytics As-Code, Version Control
Build models & reports using code
Define analytics logic using our code-based analytics language. Check in to Git. Perform code reviews before deploying.
Manage your BI system the same way you manage software development.
“Holistic effectively allows us to be repeatable. We add a new client, copy and paste all the data models, and change the data source. Done!”
David Aldred
Insight Director, Retail Insight
Self-service Analytics
Curate datasets for self-serve analytics
Simplify self-serve process with pre-built datasets. Everyone can confidently achieve complex aggregation results with minimal effort.
No more “request queue frustration” for both business & data teams.
“The ability for everyone to explore. Massive win!”
Guido Stark
Head of Data, Optimal Workshop
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.
“Holistics’s dbt integration was the biggest draw for me and demonstrates a clear understanding of where the modern data stack is headed.”
Stuart Shiell
Lead Data Insight, Semios
What makes Holistics different?
Holistics offers both experiences in the same platform: a SQL-friendly, maintainable interface for data analysts, and a reliable self-service experience for non-technical users.
SQL friendly
Friendly for data analysts who enjoy the flexibility of SQL.
Self-service
Let non-technical users run analysis without having to learn SQL.
Maintainable
Modularize and reuse data components, no more SQL spaghetties across multiple places.
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
Want to understand the complex landscape of data analytics?
Want a quick primer on the practice of modern data analytics? We wrote The Analytics Setup Guidebook to help you with that.
Get a soup-to-nuts overview of the broader data landscape in less than 200 pages. (Plus we drew all the pictures ourselves!)
I'm shocked to be telling you this next sentence: I read a free ebook from a company and actually loved it.
