6BG0000-0AA00-0EA0 SIEMENS Exclusive Predictive Analytics Software Original Brand New
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The SIEMENS 6BG0000-0AA00-0EA0 Predictive Analytics Software is a dedicated industrial solution for predictive maintenance in critical process industries. This advanced software enables businesses to monitor, analyze, and predict the performance and health of essential process equipment using predictive models. By harnessing data from sensors, it helps identify potential failures before they occur, reducing downtime and maintenance costs significantly.
Overview
Delivered under a one-time license fee structure, the SIEMENS Predictive Analytics package includes support for up to 30 target sensors and 30 predictive models. The package also offers access to hotline support and provides update and upgrade packages through an annual maintenance agreement. This allows businesses to keep their systems optimized and up to date with the latest advancements in predictive analytics. Additionally, specific terms and product sheets apply to this software license, ensuring clear guidelines for usage and support.
- Predictive maintenance decision support for critical industrial processes
- Supports up to 30 target sensors and 30 predictive models per license
- One-time license fee (maintenance fee not included)
- Hotline support included for customer assistance
- Access to updates and upgrades via annual maintenance package
- Applicable supplementary product sheets and specific terms of use
- Helps reduce downtime and maintenance costs by early detection of issues
- Ideal for industrial environments requiring high system reliability
Design
- Software solution designed for predictive analytics in industrial applications
- Integrated with existing process equipment sensor data
- Flexible licensing model with expandable predictive model capacity
- Continuous software improvements with annual updates and upgrades
- Easy access to hotline support for technical inquiries
- Detailed documentation and product sheets provided
Product Link: 6BG0000-0AA00-0EA0









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