Glean’s conversational analytics connects to Snowflake so anyone can ask questions in plain English and get permission-aware, source-cited answers. By integrating governed tables in Snowflake with company knowledge indexed by Glean, teams can make faster, explainable decisions—without needing SQL—and track adoption through built-in usage analytics.

Why it matters now: Teams can make data-driven decisions without SQL. With Glean’s Work AI platform connected to Snowflake (via Cortex Analyst and Snowflake Intelligence), employees can ask questions in plain English and receive permission-aware, source-cited answers—enhanced by your company knowledge.

Key benefits at a glance

• Democratized insights: Natural-language questions → governed answers from Snowflake, no coding needed.

• Trustworthy context: Responses can incorporate documents, tickets, chats indexed by Glean’s Enterprise Graph to explain the “why”, not just the “what”.

• Security by design: Integration respects Snowflake RBAC so users see only what they are entitled to.

• Measurable adoption: Built-in usage logs track searches, chats, and clicks to demonstrate value and improve prompts.

How it works

• Cortex Analyst + Glean: Users and agents can query structured data in Snowflake directly from Glean, using natural language or SQL.

• Snowflake Intelligence + Glean: Intelligence agents can utilize Glean as a tool to access permission-aware company context and cite sources alongside numeric answers—ensuring insights are explainable.

• Data Analysis agent: For files (CSVs/Excel), Glean can generate and execute Python in a sandbox to analyze data, then return charts and narratives.

Practical steps to roll out (90-day plan)

Days 0–30: Foundations

1. Connect Snowflake & apps (Drive, Confluence, Jira, etc.) to populate the Enterprise Graph.

2. In Snowflake, define or generate semantic views for key subject areas; enable Cortex Analyst.

3. Activate the Glean ↔ Snowflake integration and validate RBAC end-to-end with test users.

Days 31–60: Pilot & governance
4) Pilot with 2–3 teams (Finance, Success, Ops). Develop approved questions and prompt patterns (e.g., “Compare QTD pipeline versus target by segment; cite sources”).
5) Establish guardrails: sensitive-data allow/deny lists, escalation protocols for low-confidence answers, and logging for audits.

Days 61–90: Scale & measure
6) Publish a starter catalog of queries/dashboards; monitor usage events (searches, chats, clicks) and expand semantics to new domains.

Examples use cases

• Revenue & pipeline: “What’s the Q4 pipeline by region and how does it compare to last year? Show a trend and cite sources.” (Snowflake metrics + Confluence plan docs.)

• Support health: “Top 5 drivers of ticket volume last month; link underlying articles.” (Snowflake support tables + knowledge base.)

• Ops forecast: “Inventory risk for the next 6 weeks; explain assumptions and point to the policy.” (Snowflake + policy docs.)

FAQs

Q1: How does Glean integrate with existing systems?
Glean integrates directly with Snowflake Cortex Analyst and connects with your everyday apps so answers combine structured data with documents, tickets, and chats. glean.com+1

Q2: Which industries benefit most?
Any sector with governed data in Snowflake—financial services, healthcare, retail, SaaS—can unlock natural-language access while preserving RBAC and lineage. glean.com

Q3: Do employees need technical skills?
No. Users can ask in plain English, and Glean will translate to SQL where necessary; analysts can opt to use SQL for precision. glean.com

Q4: How do we ensure security and compliance?
The integration respects Snowflake’s role-based access controls to ensure people only see authorized data; customer event logs support auditing and adoption reporting. glean.com+1