Overview

This guide shows how to use Validio with warehouse-native AI functions to validate unstructured data and improve Master Data Management (MDM) quality. By leveraging Large Language Models (LLMs) directly within your data warehouse, you can validate text data, audio data, image data, standardise master data entities, and detect quality issues all without moving data outside your warehouse.

This guide focuses on using the built-in AI capabilities in Google BigQuery, Snowflake and Databricks. Other supported Validio warehouses will have comparable AI functions, but are not shown in the examples here.

Use Cases

Master Data Management

Standardize inconsistent entity naming across systems. For example, country names might appear as "USA", "United States", "US", "U.S.A", or "America". LLM-powered validators can detect non-standard variants, flag ambiguous entries, and track data quality changes over time.

Unstructured Data Quality

Validate any unstructured data including:

• Text: Product descriptions, customer reviews, document classifications, sentiment, address fields, and free-text content for completeness, quality, and adherence to content standards
• Images: Product photos for quality, appropriate content, or required elements (e.g., labels, packaging)
• Audio: Customer service call transcripts for compliance, sentiment, or specific keywords