Holistics

Overview

Holistics is an AI analytics platform designed to help data teams provide AI-assisted self-service business intelligence. It focuses on enabling business users to explore data and generate insights using natural language, while ensuring data governance and reliability through a programmable semantic layer. The platform aims to bridge the gap between data teams and business users by offering a structured yet flexible approach to data analytics.

Key Features

• AI Analytics — Provides AI-powered natural language querying and diagnostic analytics, allowing users to ask questions and receive verifiable answers grounded in governed metrics.
• Self-service BI — Enables business users to explore curated datasets, filter, slice, and drill down into metrics without writing SQL or relying on data teams for every query.
• Analytics as-code — Allows defining models, metrics, and dashboards as code, integrating with Git for version control and enabling engineering-grade BI practices.
• Composable Semantic Layer — Offers a centralized layer to define metrics and logic, ensuring consistency across dashboards, AI answers, and explorations.
• Agentic BI Development — Supports building models, metrics, and dashboards using coding agents, both locally and with an in-browser Development Copilot.
• Canvas Dashboard — Provides interactive dashboards that allow users to drill into metrics, cross-filter charts, and combine text and visuals to tell data stories.
• dbt Integration — Facilitates integration with dbt, allowing data teams to leverage existing data transformation workflows within the Holistics platform.

Who It's For

Holistics is primarily designed for data teams, including data engineers and BI engineers, who want to empower business users with self-service analytics capabilities. It caters to organizations looking to implement a governed, reliable, and scalable BI solution that leverages AI for data exploration. The platform is suitable for companies that prioritize data consistency, verifiability, and an engineering-grade approach to analytics development.

Notable Strengths

Holistics' primary strength lies in its "Analytics as-code" approach combined with a robust, programmable semantic layer, which ensures consistency and verifiability in AI-generated insights. The platform's ability to translate natural language queries into a high-level AQL (Analytics Query Language) rather than raw SQL makes AI responses more reliable and transparent. This focus on a governed semantic model allows for powerful self-service exploration while maintaining data integrity, as evidenced by user testimonials highlighting its reusability and accuracy.