Oracle JD Edwards Internet of Things
Internet of Things, where your machines, along with your people and processes, are connected with your JD Edwards ERP.
About Oracle JD Edwards Internet of Things
Using Machine-to-Machine (M2M) communications allow organizations to solve their most challenging business problems. These systems work by attaching sensors to collect information such as temperature, geopositioning, pressure, or vibration. Collecting information from machines enables organizations to integrate this information into their business processes to make more intelligent decisions, reduce costs, and create new revenue streams.
Welcome to the world of the Internet of Things, where your machines, along with your people and processes, are all connected enabling solutions that were not possible before.
- Intuitive tools
- Prebuilt orchestrations
- Oracle IoT Cloud Service
- Collect sensor data reliably and securely
- Extend enterprise applications with IoT data
- Device Virtualization
- High Speed Messaging
- Standardize integration of devices
- Perform real-time, big data, and predictive analytics
- Allow enterprise and mobile applications to control devices
- Increased productivity and process automation
- Lowers cost and complexity
- Real-time, continuous, accurate data
- Reduced manual data entry errors and untimely data.
- Clearer analytics
- Better regulatory compliance.
- Enhanced preventative maintenance of assets
- Turns devices into JD Edwards ERP users
- Increased opportunities to expand service offerings
- Faster Time to market
More about Oracle JD Edwards Internet of Things
Oracle JD Edwards IoT
Oracle JD Edwards has helped thousands of organizations simplify, standardize, and optimize their ERP business processes in the areas of finance, procurement, manufacturing, capital asset management, and supply chain. This automation results in better business decisions, cost savings, and increased revenue. Just as this automation has helped organizations improve their business results, the step of simplifying how M2M information is collected and acted upon in the context of an organization’s business process will enable organizations to further extend this value to their company assets, manufacturing operations, projects and services, and supply chain.
Machine to Machine input
Improving the accuracy, frequency, and timeliness of your input data is the most important upgrade you can make to your enterprise applications. The value of the Internet of Things (IoT) is recognized in industrial automation, healthcare, energy management, environmental monitoring, and infrastructure management, to name just a few. IoT-enabled devices add value to any industry business process that relies on tedious, expensive, error-prone manual input to applications. An ERP system integrated with an IoT solution delivers real-time, always-on data into applications to increase the value of your software investment.
The JD Edwards EnterpriseOne Orchestrator Studio and the IoT Orchestrator provide the ‘last mile’ to bring data into your ERP system with ease. The Orchestrator Studio is an intuitive web-based application for developing orchestrations that provide the instructions for transferring device data into transaction-capable data in EnterpriseOne. The IoT Orchestration processes orchestrations as inputs are received by orchestrations in real-time. This real-time data transformation results in optimized operations, nimble responsiveness, clearer analytics, and better regulatory compliance
The automated, continuous, and real-time input from automated devices is prefiltered and mapped to transactions by the JD Edwards EnterpriseOne IoT Orchestrator to support improved analytics and decision-making by the business.
As a result companies drive better business value from their data, for example through:
Improved customer experience
Preventive maintenance, system safety, remote diagnostics, and asset management can be optimized when based on accurate, real-time data.
Optimization of business processes/improved operational efficiency
Reduction of the human factor in data collection improves facilities management, safety and security, resource utilization, and maintenance. Real-time visibility into equipment condition reduces the risk of collateral damage and minimizes downtime. Early identification of trends towards out-of-tolerance conditions triggers appropriate corrective actions to prevent failure. Instant awareness of trends means that there is no delay between problem identification and resolution.
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.
Real-time data, advanced analytics, and better awareness of usage trends produce additional up-sell and cross-sell opportunities. The combination of smart devices and other IoT technologies allow for high-velocity collection of field data that can be analyzed in real time. As a result, the business benefits from better business decisions and improved operational efficiency, and gains a competitive advantage.
The Oracle JD Edwards EnterpriseOne IoT platform is built on an extension of existing interoperability architecture that is suited for an M2M network. This provides a familiar modern platform for customers, partners, and other service providers for integrating the machine information into their existing and new JD Edwards applications.
Oracle IoT technologieën
Customers can also bolster the JD Edwards IoT Orchestrator with one or more components of the Oracle Cloud IoT solution, such as complex event processing, device identity management, security, long-term and high-volume data storage, and big data analysis. The JD Edwards IoT platform includes a Discovery Service which the Oracle IoT Cloud Service can access to view available orchestrations as well as the format and inputs of each orchestration. Oracle’s JD Edwards applications, combined with a layered architecture, is uniquely positioned to leverage the capabilities of IoT technologies and to offer highly differentiated solutions.