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Snowflake@Kellanova

Kellanova Brings Governed Analytics onto Snowflake

Kellanova, a consumer staples organization in the United States, uses Cortex AI from Snowflake to support enterprise reporting for analysts and finance partners.

Kellanova uses Cortex AI to query shared, documented data instead of competing desktop extracts.

“Consumer Staples work at Kellanova spans more than one site, even when headquarters sits in the United States.”
“Analysts and finance partners asked for a shared way to run enterprise reporting without freezing local judgment.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
Risk and complianceAnalysts and finance partners work from the same Cortex AI record for governed analytics
Risk and complianceGoverned analytics can be reviewed without waiting on a personal export
CapabilityEnterprise reporting stays visible to adjacent teams through Cortex AI

Story

Consumer Staples work at Kellanova spans more than one site, even when headquarters sits in the United States. Governed analytics was splitting across regional habits. Analysts and finance partners asked for a shared way to run enterprise reporting without freezing local judgment.

Snowflake (Cortex AI) is what they standardized on. Snowflake is a cloud data platform that separates storage and compute so organizations can share, analyze, and govern data across clouds. Kellanova uses it as the system of record for governed analytics, with analysts and finance partners as the primary operators and other groups coming in through the same queue.

Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.

Value Graph

Kellanova uses Snowflake, Anthropic, Check Point, AWS, Cisco, OpenAI, UiPath, Snyk, Twilio, Shopify, SAP, Asana, Elastic, Netskope, PayPal, SAS. Shared with Aviva, FIS, HelloFresh, Jeld-Wen, Matillion. Industry: Consumer Staples. Value: Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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