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

Why it matters now: Teams don’t need SQL to make data-driven decisions. With Glean’s Work AI platform hooked into Snowflake (via Cortex Analyst and Snowflake Intelligence), employees can ask questions in plain English and get permission-aware, source-cited answers—augmented by your company knowledge.

Key benefits at a glance

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

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

• Security by design: Integration honours Snowflake RBAC so users only see what they’re entitled to.

• Measurable adoption: Built-in usage logs track searches, chats and clicks to prove 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 call Glean as a tool to fetch permission-aware company context and cite sources alongside numeric answers—so insights are explainable.

• Data Analysis agent: For files (CSVs/Excel), Glean can generate and run Python in a sandbox to analyse 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. Enable the Glean ↔ Snowflake action and validate RBAC end-to-end with test users.

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

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

Examples use cases

• Revenue & pipeline: “What’s Q4 pipeline by region and how does it compare to last year? Show a trend and cite sources.” (Snowflake measures + 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 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 to your everyday apps so answers blend 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 translates to SQL where needed; analysts can still drop to SQL for precision. glean.com

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