Siemens transforms how the world consumes energy using APIs
Customer Company Size
Large Corporate
Region
- Europe
Country
- United Kingdom
Product
- MuleSoft
Tech Stack
- APIs
- IBM mainframes
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Innovation Output
Technology Category
- Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
- Electronics
- Utilities
Applicable Functions
- Discrete Manufacturing
- Product Research & Development
Use Cases
- Process Control & Optimization
- Real-Time Location System (RTLS)
Services
- System Integration
About The Customer
Siemens is a leading global manufacturing and electronics company based in Europe. With over 351,000 employees worldwide, Siemens has a significant presence in the global market. The company is involved in various sectors, including energy, healthcare, and infrastructure. In this case, Siemens was tasked with a significant project related to UK climate change regulations. The project involved the rollout of 60 million smart meters, which required a more efficient way of managing their complex network of devices, vendors, and suppliers.
The Challenge
Siemens, the largest manufacturing and electronics company in Europe, was tasked with deploying 60 million smart meters in response to UK climate change regulations. This massive undertaking required a more efficient way of managing their complex network of devices, vendors, and suppliers. The company's legacy IBM mainframes housed siloed services and data, which needed to be made accessible to their network of service providers. Additionally, Siemens needed to expose energy consumption data to regulatory authorities in real-time, eliminating the need for manual report preparation and submission.
The Solution
Siemens turned to MuleSoft to leverage APIs to unlock the siloed services and data within their legacy IBM mainframes. This approach allowed them to expose this data to their network of service providers, enabling mobile and web applications to consume this data. This contributed to a superior partner and customer experience while maintaining the downstream integrity of these systems through throttling and rate limiting API policies. Furthermore, Siemens was able to repurpose these APIs to expose energy consumption data to regulatory authorities in real-time, eliminating the need for manual report preparation and submission.
Operational Impact
Quantitative Benefit
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