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EV manufacturers operate a complex estate of manufacturing systems and integration technologies across heterogeneous environments. This complexity hinders standardizing data ingestion, information sharing, and business process optimization. Enable real-time data streaming to drive operational efficiency.
Leverage the power of Confluent’s data streaming platform to gain visibility across your business, implement consistent processes, and significantly lower overhead.
Adopt a single data streaming paradigm across your entire organization and hybrid cloud environment.
Connect quickly to Snowflake and have the first PLM to ERP integration up and running in just 2-3 months.
Lower the barrier to entry to valuable use cases, like predictive analytics on vehicles.
Build reusable data products and unlock untapped operational efficiency.
This use case leverages the following building blocks in Confluent Cloud:
Allata chose Confluent Cloud to help implement this data mesh architecture, giving the EV manufacturer an integration layer that could keep up with storage and scalability needs as well as adopt a single data streaming platform across their entire organization and hybrid cloud environment.
Confluent and Allata help bridge 3 key systems: Product lifecycle management (PLM) tool responsible for creating 3D models of EV parts; Enterprise resource planning (ERP) system that contains the list of all parts involved in building a new EV; and Manufacturing execution system that monitors and controls the entire production lifecycle for automotive parts.
Operational data products include MDM, digital product enablement, and microservices. Analytical data products include advanced analytics, AI/ML, and BI/visualizations.
Each business unit is responsible for data streamed and processed through a specific pipeline. That team has the domain knowledge to define the data product using Confluent Cloud’s built-in governance tooling.