Capture Data
Just as JD Edwards' automation has helped organizations improve their business results, the step of simplifying how machine-to-machine (M2M) information is collected and acted upon in the context of an organization's business processes will enable organizations to further extend this value to their company asset, manufacturing operations, projects and services, and supply chain.
Implement
- Business/Technical Brief: JD Edwards EnterpriseOne Orchestrator
- Business/Technical Brief: Converging Technologies are Changing Enterprise Asset Management
- Support: Installation of JD Edwards Orchestrator Components
- Setting Up Orchestrator Studio 9.2.4HOT!
- Setting Up Orchestrator Studio 8.0 and Prior Release
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Running a Sample Orchestration in the JD Edwards EnterpriseOne Orchestrator Client,Running Orchestration
Translations:
Use
- Recording Process Steps for an Orchestration
- Creating a Form Request in the Orchestrator Studio
- Creating a Message Request in the Orchestrator Studio
- Creating and Testing an Orchestration
- Running an Orchestration on a Schedule
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Creating an Orchestration in the Orchestrator Studio
Translations:
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Adding Nested Components to an Orchestration
Translations:
Translate Real-Time Insights into Business Value
Improving Customer Experience
Preventive maintenance, system safety, remote diagnostics, and asset management can be optimized when based on accurate, real-time data.
Increasing Business Intelligence
Real-time data, advanced analytics, and better awareness of usage trends produce additional up-sell and cross-sell opportunities.
Making Machines Intelligent
Getting machines to talk to each other and connecting devices to JD Edwards without third-party dependency renders data retrieval faster, simpler, and more accurate.
Providing the Ideal Architecture
The Oracle JD Edwards EnterpriseOne IoT platform is built on an extension of existing interoperability architecture that is suited for an M2M network.