Accelerating the Industrial Internet of Things
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Siemens Case Studies SpaceX delivers outer space at bargain rates

SpaceX delivers outer space at bargain rates

Siemens
SpaceX delivers outer space at bargain rates
SpaceX delivers outer space at bargain rates
SpaceX delivers outer space at bargain rates
SpaceX delivers outer space at bargain rates
SpaceX delivers outer space at bargain rates
Aerospace
Information Technology
Product Development
Space X wanted to develop a rocket that can reduce the cost of space access by a factor of 10.
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SpaceX designs, manufactures and launches advanced rockets and spacecraft. The company was founded in 2002 to revolutionize space technology, with the ultimate goal of enabling people to live on other planets.
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Space X employed a managed development environment built on NX software and Teamcenter software, created virtual mockups of entire rockets, leverage design data for shop-floor guidance and marketing, and control the lifecycle of all rocket components.
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Design data
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IT
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Cutting Edge (technology has been on the market for < 2 years)
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End-to-End Service Delivery - Deeper integration of information across departments and business units improves internal collaboration.
Siemens's solution results in 50% increase in production.
Hardware
Software
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Services
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
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