Description
Holistics is an AI analytics platform designed to empower data teams with self-service business intelligence (BI). It features a programmable semantic layer (AML) and a composable AI-native query language (AQL), allowing teams to deliver powerful and reliable BI solutions. The platform enables analysts to prepare curated datasets, while business users can self-serve through AI or a point-and-click interface. Holistics ensures that AI answers and point-and-click answers match by reading from metrics defined once in a centralized layer.
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The platform supports analytics as code, allowing everything from models to dashboards to be defined as code and version-controlled with Git. This approach enables data teams to manage BI like software, with features such as branching, pull requests, and rollbacks. Holistics also offers a self-service exploration feature, allowing business users to slice, drill, and combine metrics on curated datasets without SQL or tickets.
Holistics' semantic layer is a key feature, providing a single source of truth for metrics and logic. This ensures that AI answers are consistent and reliable, as they are based on governed definitions rather than raw tables. The platform also supports advanced analytics, such as cohort retention and period comparisons, within the semantic layer.
Holistics offers flexible pricing options, including plans for embedded analytics with unlimited dashboard viewers. The platform is designed for transparency and supports various integrations, including Snowflake, BigQuery, and dbt. Holistics is trusted by teams worldwide, offering hands-on support and continuous platform improvements.
- CategoryBusiness Intelligence
- Pricing ModelFlexible
- DeploymentCloud
- PlatformsWeb
Holistics AI Analytics Platform's Core Features
AI-assisted self-service BI
Programmable semantic layer (AML)
Composable AI-native query language (AQL)
Analytics as code with Git version control
Self-service exploration without SQL
Centralized metrics and logic
Advanced analytics within semantic layer
Flexible pricing with embedded analytics
How to use Holistics AI Analytics Platform?
Configure: Set up the semantic layer and define metrics
Use: Explore data and generate insights through AI or point-and-click
Optimise: Manage analytics with version control and code reviews
Embed: Integrate analytics into your own apps and websites
Holistics AI Analytics Platform's Use Cases
- Self-service BI
- Centralized metrics
- Embedded analytics
- Advanced analytics
- Version-controlled analytics
