The Snowflake data cloud holds massive amounts of organisational data that is vital to decision making, but this data is often trapped by a data bottleneck in the form of the need for complex SQL code and specialists to access it meaningfully.

Snowflake Intelligence seeks to offer not just an upgrade, but a game-changer that will democratise data access for business users; a personalized enterprise intelligence agent that can answer complex questions in natural language to unblock your decision-making process.

The Core Features

No More SQL Barrier

Snowflake Intelligence leverages Natural Language Querying powered by Cortex Analyst and leading LLMs (like Anthropic, Mistral, and Snowflake’s own Arctic model). Any business user can now circumvent the SQL barrier by asking questions in plain English.

When a Marketing VP can ask, “What was customer churn in Q2 outside of EMEA?” and get an instant visualization, reporting backlogs are resolved, freeing your data team to focus on strategic work like data quality and datamart enhancements.

Unifying Data and Getting to the “Why?”

A dip in quarterly sales is just a number until you understand the underlying cause. Snowflake Intelligence, powered by Cortex Analyst, is designed to connect all your data types to move beyond reporting and deliver genuine root-cause analysis—something traditional BI tools often cannot achieve.

A Case Study

It’s not uncommon for a retailer to see an unexpected drop in sales for certain products and want to get to the bottom of it. Their available data is spread across structured sales fact tables and inventory dimensions, as well as unstructured files stored in stages within the account like support logs and reviews.

The agent doesn’t just look at the “what” of structured sales data. A Cortex Analyst query can simultaneously:

  1. Identify the sales dip in the structured SALES_FACTS table.
  2. Scan unstructured data for that specific product line, finding an increase in negative customer reviews and support chats containing key phrases.
  3. Synthesize links between the structured revenue loss directly to the unstructured customer feedback, identifying a product quality issue, versus a pricing or inventory problem.

The Insight: The Marketing VP doesn’t just get a visualization of low sales; they get the definitive reason: “Sales dropped on product A due to quality issue B, as evidenced by 650 negative reviews in the last 30 days.”

Turn Insights to Action, Automatically!

Snowflake Intelligence agents go beyond simply answering questions. Being agentic means they can plan, coordinate, and orchestrate multi-step workflows across your enterprise tools.

Following on from our insight above, the agent doesn’t have to stop at reporting. A well-developed agent can execute an entire, automated remediation plan including:

  1. Root-Cause Confirmation: Agent identifies the specific batch/SKU associated with the quality issue.
  2. Proactive Customer Outreach: Agent integrates with your CRM (e.g., Salesforce) to identify all customers who purchased that specific batch/SKU and automatically triggers a personalized service email offering a credit or replacement.
  3. Supply Chain Lock-down: Agent integrates with your ERP (e.g., SAP) to automatically flag the defective inventory batch, preventing further shipments and launching a return workflow with the supplier.
  4. Strategic Data Team Notification: Agent creates a Jira ticket for the Data Engineering team, prioritizing a new data quality check to proactively monitor supplier quality data in the future.

This sequence transforms passive data into an active driver of operations, ensuring that business users can resolve major issues without needing to involve data scientists or manually coordinate four different software systems.

Why Snowflake Intelligence Will Be a Game-Changer for Your Business

Snowflake Intelligence turns data from a specialist resource into a company-wide asset.

●     Speed: Quicker Insights & Decision Making by removing the wait on data teams for ad-hoc reports.

●     Security: Built on Trust: It inherits your existing Snowflake security (RBAC, masking) and your data never leaves the secure environment.

●     Accessibility: Puts Power in Every User’s Hand, driving true self-service across the entire organization.

Partnering For the Future With LEIT DATA

As a data consultancy and launch partner, we are here to help you take a proactive approach in implementing Snowflake Intelligence with special attention to data quality and governance.

If you’re ready to transform your data conversation into action, contact us: info@leit.ltd

https://www.snowflake.com/en/product/snowflake-intelligence