Accelerating the Industrial Internet of Things
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Bosch Case Studies Transport Platform - Serving the Energy Data Management

Transport Platform - Serving the Energy Data Management

Bosch
Transport Platform - Serving the Energy Data Management
Transport Platform - Serving the Energy Data Management
Transport Platform - Serving the Energy Data Management
Transport Platform - Serving the Energy Data Management
Energy
Maintenance
The challenge for EWZ was to design the processes so that they could be traced easily and meet the standards for handling exchange processes in line with the market such as automation of bulk data exchange and exchange processes as well as their implementation according to the SDAT and MC-CH industry documents, integration of the very heterogeneous IT landscape, and no in-house development but a tried and tested standard product.
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EWZ is one of the few companies that produces, handles, transports and distributes energy in the city of Zurich, with more than 900 employees.
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inubit provides automation of the metering and scheduling data transport as per SDAT via FTP, backup with e-mail communication, integration of the energy data management and energy industry systems, and use of the preconfigured “ebIX LW” for supplier changes.

Software Components
- inubit Business Process Management (BPM)
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Metering data, scheduling data, energy data
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IT
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Emerging (technology has been on the market for > 2 years)
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Employee Efficiency - inubit's fast implementation of changes to the system environment and its ease-of-use allowed EWZ to save time and personnel costs for operating the system.
Data Aggregation - inubit solutions enable aggregation of 'big data' to enable more robust analysis.
Data Availability - Availability has been increased further by ensuring that the data is transferred smoothly without any manual intervention, even if an FTP server fails.
EWZ bundles more than 600 data exchange processes every day and a further increase is to be expected.
Hardware
Software
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
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.
Examples of business consulting services include go-to-market design and execution, business model development, channel development, and corporate M&A.
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