Holistics

A self-service BI platform combining a semantic layer with AI conversational analysis

4.2 SG

What is it

Holistics is a self-service business-intelligence (BI) platform built for modern teams, combining a code-based semantic layer with AI-driven conversational analysis. It breaks the traditional bottleneck where data analysis heavily relies on data engineers, letting non-technical business or marketing staff quickly query key internal information through an intuitive interface and conversation, greatly improving team data autonomy and decision efficiency.

What problem it solves

In the traditional data-analysis flow, front-line staff often have to ask engineers to help write complex SQL — time-consuming and prone to information gaps. Holistics ensures company-wide consistency of metric definitions through a code-based semantic layer, avoiding the chaos of "same data, different interpretations." Combined with AI analysis, users can ask questions in everyday language and the system automatically generates the corresponding reports and insights, effectively solving pain points like high database barriers and slow report output, making data a true core engine driving business growth.

Key Features

Code-based semantic layer
AI conversational analysis
Self-service report building
Data-access permission control
Automated data delivery

Pros

Ensures consistent company-wide data-metric definitions
Lowers the barrier for non-technical staff to query data
Supports the modern data stack and collaboration

Cons

Requires time upfront to build and maintain the semantic layer
There's still a learning curve for users who don't understand data structures at all

Use Cases

Marketing teams quickly querying conversion rate and acquisition cost
Sales departments self-tracking target-achievement progress
Data teams building a standardized, reusable metric library

Editor's Note

Holistics successfully combines the rigor of code-managed definitions with the convenience of AI — an excellent tool for driving enterprise data democratization.

FAQ

Who is Holistics for?

It's well-suited to business analysts, marketers, and sales managers who frequently query data, and data-engineering teams wanting to ease the report-building burden.

How does its AI conversational analysis work?

Users enter everyday-language questions in the interface, and the AI parses and produces corresponding data reports and analysis based on the underlying semantic-layer definitions.

Why is a code-based semantic layer needed?

The semantic layer unifies the company's metric-calculation logic, ensuring different departments use the exact same definitions and data sources when viewing key metrics like revenue or cost.