Ricardo Magalhães

When global manufacturers evaluate their enterprise analytics strategy, they face a critical decision: build a custom solution on a generic data platform like Snowflake, Azure Synapse, or Databricks, or invest in a purpose-built manufacturing intelligence platform like Critical Manufacturing’s Enterprise Data Platform (EDP)?

Imagine asking your manufacturing data a question the same way you would ask a colleague: “What happened during the night shift that I need to know about?”

The ultimate expression of manufacturing intelligence: the Enterprise Data Platform (EDP). 
While your competitors manage individual manufacturing sites, you are about to orchestrate a global manufacturing intelligence network.

In this second article, we will examine how CDM seamlessly connects to one of manufacturing’s most transformative architectural patterns: the Unified Namespace (UNS).

This is the first article of a series on how Critical Manufacturing is democratizing manufacturing data analytics. We start with insights on the Canonical Data Model and how we built it to give data the value manufacturers need.