DMA Partner & Stakeholder
Siemens AG Österreich
Data Provider + Data Customer
Deepak Dhungana | Herwig Schreiner | Danilo Valerio
Siemens.com Unrestricted © Siemens AG 2016
Unrestricted © Siemens AG 2016
Nov, 2016 Page 2 Corporate Technology
Importance of Data Driven Ecosystems for Siemens
We build on common technology
platforms …
+ Latest technology for all Siemens businesses
+ Reduction of technical complexity in the company
+ Leveraging synergies through scaling
+ Faster development
… and use the customer proximity of our
operating units to develop applications
+ Know-how regarding large installed bases of
products and systems
+ Deep know-how of customer processes and
challenges
+ Many existing applications that already generate
value for our customers
Process Industries & Drives
Digital Factory
Energy Management
Healthcare
Power and Gas, Power Generation
Services
Wind Power
Mobility
Building Technologies
Sinalytics Data analytics
Data visualization
Modeling/Analysis
Data management
Data integration
Cloud/Connectivity
Cyber Security
Availability Security
Productivity Energy efficiency
Unrestricted © Siemens AG 2016
Nov, 2016 Page 3 Corporate Technology
Siemens Digital Services
Technology with domain and context know-how for customer value
Context of data from installed basis
Installed
products,
systems,
processes
and sensors
Domain
know-how
+
Context
know-how
+
Analytics
know-how
− Improved performance
− Energy savings
− Cost reductions
− Risk minimization
− Quality improvement
= Digital Services
Customer value Options for action Information Data analysis Data
Unrestricted © Siemens AG 2016
Nov, 2016 Page 4 Corporate Technology
Data from DMA for the Mobility Pilot Implementation
Mobility data
Weather data
V2X data
other data …
…
Utilize enriched mobility data for supporting the design, planning,
deployment, and configuration of intelligent road infrastructure.
RSU (Road Side Units) TCC (Traffic Control) platforms Intelligent traffic lights (TL)
Enriched Mobility data
Mobility Analytics Engine
Front-End
A
B
C
Realistic data for
traffic simulations
Smart configuration of traffic simulation parameters
• Based on empirical data
• Cost-effective and without needing big data expertise
• Easy-to-use: User clicks a POI and requests optimal parameters
DMA provides input for improving predictions on different levels
• Individual car, intersections (TL), traffic control center (TCC)
Unrestricted © Siemens AG 2016
Nov, 2016 Page 5 Corporate Technology
Expectations
„Die DMA-Plattform und ihre Demonstratoren werden
bei Siemens Österreich dazu beitragen, vorhandene
Daten-Silos abzutragen und die Wichtigkeit eines
„Ökosystems der Daten“ hervorzustreichen.
Dadurch können die Herausforderung der digitalen
Zukunft gemeinsam gemeistert werden.“
Herwig Schreiner, Siemens AG Österreich
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