Holistics Data

Holistics is a business intelligence platform built around a programmable semantic layer. Instead of the usual BI setup where analysts write one-off SQL queries and dashboards, Holistics lets data teams define metrics and logic once, in code, and then reuse them everywhere. Business users can ask questions in plain English, get answers grounded in those governed definitions, or explore data themselves using a point-and-click interface. No tickets, no raw SQL, no broken dashboards.

The key difference is the semantic layer. Most BI tools claim to have one, but when you need a running total by segment or a rolling window by region, they fall back to table calculations or raw SQL. Holistics keeps those complex metrics inside the semantic layer as first-class composable definitions. Its AI reasons over that layer using a query language called AQL, so it respects business rules and can handle multi-turn conversations. You can also define everything as code—models, metrics, dashboards—check them into Git, review changes, and deploy like any software project. There's even a development copilot and integration with dbt to pull metadata directly into the BI layer.

Holistics is best for data teams that want to give business users real self-service without sacrificing governance. If you're tired of fielding the same ad-hoc requests, or frustrated that your BI tool's AI only generates raw SQL that ignores your metric definitions, this is worth a look. Data engineers can build reusable models, analysts can curate governed datasets, and everyone else can get answers without a ticket queue.