Holistics AI Analytics Platform

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.

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.

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?

1. 1

   Configure: Set up the semantic layer and define metrics

2. 2

   Use: Explore data and generate insights through AI or point-and-click

3. 3

   Optimise: Manage analytics with version control and code reviews

4. 4

   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

FAQ from Holistics AI Analytics Platform

• What is Holistics AI Analytics Platform?

  Holistics is an AI analytics platform that provides self-service BI with a programmable semantic layer and AI-native query language.

• How does Holistics ensure reliable insights?

  Holistics uses a centralized semantic layer to define metrics and logic, ensuring AI answers and dashboards are consistent.

• What is the pricing model for Holistics?

  Holistics offers flexible pricing options, including plans for embedded analytics with unlimited dashboard viewers.

• Can Holistics integrate with other data platforms?

  Yes, Holistics supports integrations with platforms like Snowflake, BigQuery, and dbt.

• How does Holistics support self-service exploration?

  Business users can slice, drill, and combine metrics on curated datasets without SQL or tickets.

• What is the role of the semantic layer in Holistics?

  The semantic layer provides a single source of truth for metrics and logic, ensuring consistent and reliable AI answers.

• Does Holistics offer version control for analytics?

  Yes, Holistics supports analytics as code with Git version control, allowing for branching, pull requests, and rollbacks.

• What support does Holistics offer to its users?

  Holistics provides hands-on support and continuous platform improvements to ensure user success.