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Databricks@Emerson

Emerson Uses Mosaic AI for Governed Analytics

Emerson, an industrials organization in the United States, uses Mosaic AI from Databricks to support enterprise reporting for analysts and finance partners.

Value results

CategoryValue result
Risk and complianceAnalysts and finance partners work from the same Mosaic AI record for governed analytics
Risk and complianceGoverned analytics can be reviewed without waiting on a personal export
Risk and complianceNamed workflow replaces ad hoc routing for governed analytics

Story

Inside Emerson, enterprise reporting used to depend on whoever still had the latest file. That pattern is common in industrials groups working out of the United States. Analysts and finance partners needed a system that would still make sense after the original project team moved on.

Emerson uses Mosaic AI from Databricks as the working layer for governed analytics. Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models. The practical change is simple: enterprise reporting has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What Emerson gets from Databricks is a durable place to run enterprise reporting and a way for analysts and finance partners to see the same governed analytics at the same time.

Relationship map

Emerson uses Databricks, Oracle, AVEVA, Box, Wiz, Zoom. Shared with AstraZeneca, Biogen, Grammarly, Hotels.com, Konica Minolta. Industry: Industrials. Value: Risk and compliance. Drag nodes, filter types, or expand a node to follow more commonalities.

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