Unstructured Data Technical Overview

Overview

Monte Carlo supports monitoring unstructured text columns directly within metric monitors, powered by LLM-based transformations.

More information can be found here.

Primary & Intended Use

Apply sentiment analysis, text classification, or custom prompt-based structuring to freeform text data—without needing to pre-transform data or write SQL.

How Unstructured Data Monitoring Works

Users select the table and data source and Monte Carlo surfaces all eligible text fields. The user will then choose a LLM transformation (extracting sentiment, classifying by category, or asking a custom prompt).

The transformation then runs directly in the customer data warehouse and once transformed, the result can be used like any other metric dimension or condition.

Data Privacy & Data Retention

The data returned to Monte Carlo follows all current privacy and retention guidelines. Since the LLM transformation is run within the customer warehouse, no raw data is returned to Monte Carlo to be processed or stored.