Semantic Modeling Layer
Maintain a central store of analytics. Define metrics and analytics logic once, reuse in multiple reports.
Self-service analytics,
with DevOps best practices
Holistics helps data teams set up self-service BIs that are reliable and easy to maintain.
Everyone can now self-serve data with confidence by applying software's best practices
Define analytics logic once, reuse in multiple reports Build reports & metrics using code Prebuild datasets for self-serve exploration
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Analytics As-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.
Holistics offers diverse features for various user profiles
Semantic Modeling Layer
Define analytics logic in one single 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 & dashboards 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
Canvas Dashboard
Turn dashboards into content-rich narrative
Freely add and arrange visualizations, filters, and texts on a blank canvas to build your narrative reports.
This allows business users to consume & explore data in a form that’s more natural to humans’ thinking process.
“I've been waiting for the ability to make a dashboard look like a narrative report with description or analysis upfront. This is gonna be awesome!”
Thi Nguyen
Product Manager, dbdiagram
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.
“Holistics is our go-to platform for analyzing and sharing company data reports due to its deceptive ease of use, customizable filters, efficiency, and more. Our non-technical teams all love Holistics.”
Gabriel Chong
Data Operations Manager, 99co
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's different about Holistics?
Holistics offers both experiences in the same platform: a SQL-friendly, maintainable interface for data analysts & 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, we can literally implement new datasets in 2 hours from start to finish, as compared to probably 10 to 12 hours in our previous tool.
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!)
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In The Press
