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Gathr.ai Launches Data Warehouse Intelligence Feature

Gathr.ai

Gathr.ai has introduced Data Warehouse Intelligence, a powerful new addition to its product suite that allows users to engage with their data warehouse using natural language. This breakthrough enables teams to access high-quality, context-rich intelligence grounded in their unique data and business logic.

Designed to bridge the gap between raw data and meaningful insights, Data Warehouse Intelligence transforms how enterprises interact with their data assets. By leveraging AI that inherently understands data context, organizations can unlock smarter decision-making and faster time-to-insight.

Key Features of Data Warehouse Intelligence include:

With this release, teams can ask nuanced questions such as “Why did revenue dip in Q2 for Region B?”, “What’s driving it discount strategy, lead quality, or something else?”, or “How do I improve win rates in enterprise deals?” all using plain English.

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Data Warehouse Intelligence caters to a broad user base across the enterprise:

The solution is compatible with leading data warehouses and engines including Snowflake, Amazon Redshift, MS SQL, MySQL, PostgreSQL, Trino, and Starburst, with upcoming support for Oracle and BigQuery.

“Data and AI are everywhere today, yet high-quality intelligence remains out of reach for most businesses. Standard tools deliver surface-level responses, disconnected from an organization’s specific data context,” said P. C. Kiran, CEO, Gathr.ai. “With Data Warehouse Intelligence, businesses can see what’s happening, understand why, and pinpoint exactly how to move forward with confidence. We’re thrilled to strengthen our product suite and look forward to helping customers uncover data-backed answers that move business KPIs forward.”

Gathr.ai also offers complete deployment flexibility whether on-premises, in the cloud, via hybrid setups, or as a fully managed SaaS. This ensures organizations can harness insights from their data wherever it resides, without disrupting their existing technology ecosystem.

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