marc fontaine - scaling€¦ · procure to pay time to get a fix industrial processes monitoring...
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![Page 1: Marc Fontaine - SCALING€¦ · Procure to Pay Time to get a fix Industrial processes monitoring Supplier monitoring portal. Skywise: Delivering value for airlines and suppliers Defect](https://reader034.vdocuments.us/reader034/viewer/2022050108/5f61f20db901471ec658d75c/html5/thumbnails/1.jpg)
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Marc Fontaine
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![Page 3: Marc Fontaine - SCALING€¦ · Procure to Pay Time to get a fix Industrial processes monitoring Supplier monitoring portal. Skywise: Delivering value for airlines and suppliers Defect](https://reader034.vdocuments.us/reader034/viewer/2022050108/5f61f20db901471ec658d75c/html5/thumbnails/3.jpg)
Data integration is key
From static, heterogeneous systems… …To extracted, curated and actionable data
Extraction
Integration
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Skywise: Delivering value inside Airbus
A350 maturity acceleration
A350/A320 quality
A350/A320 production
Predictive maintenance
Product Control Tower
Smart Repair Wizard
Bill of MaterialsProcure to Pay
Time to get a fix Industrial processes
monitoring
Supplier
monitoring portal
![Page 5: Marc Fontaine - SCALING€¦ · Procure to Pay Time to get a fix Industrial processes monitoring Supplier monitoring portal. Skywise: Delivering value for airlines and suppliers Defect](https://reader034.vdocuments.us/reader034/viewer/2022050108/5f61f20db901471ec658d75c/html5/thumbnails/5.jpg)
Skywise: Delivering value for airlines and suppliers
Defect
management
Fleet wide
reliability
Root cause
analysis
Operational safety
investigations
Warranty claims
automation
Digital Services
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Eliminating industry wide friction costs generates a value
of 55 Bi $: Step-by-step approach to break data silos
Internal
silos
Industry
silos
Value chain
silos
MROs
MRO ..
MRO ..
MRO 1
REPAIR
DATA
ISSUE
DATA
Airports
Airport ..
Airport ..
Airport 1
FLIGHT
DATA
Supplier ..
Supplier ..
Suppliers
Supplier 1
PRODUCTION
DATA
SUPPLIER
DATA
REPAIR
DATA
Airlines
Airline ..
Airline ..
Airline 1
OPERATIONS
DATA
IN SERVICE
DATA
MAINTENANC
E
DATA
OEMs
Boeing
Airbus
ENGINEERING
DATA
MANUF.
DATA
PASSENGER
DATA
Examples
No bench-marking
vs. best in class players
No real time optim. of
routes / fleet / crew
Poor ops data feedback for
product def. / improvement
Limited data sharing on issue
identification / root cause analysis
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+15 months ago we
launched the open
aviation data platform
20+Airbus Internal
Applications
4Early Adopter
Airlines
Today Skywise has
connected:
3000+Aircraft
20M+Flights
30M+Maintenance
Actions6000Active Users
3.5PBof aviation data
29Airlines
+13Supplier Early
Adopters
Skywise aerospace open data platform
![Page 8: Marc Fontaine - SCALING€¦ · Procure to Pay Time to get a fix Industrial processes monitoring Supplier monitoring portal. Skywise: Delivering value for airlines and suppliers Defect](https://reader034.vdocuments.us/reader034/viewer/2022050108/5f61f20db901471ec658d75c/html5/thumbnails/8.jpg)
Leveraging data foundations to enable the other digital
capabilities
Experimentation Scale up Industrialization
Big data and Advanced analytics
Internet of things (IoT) & connectivity
Artificial intelligence
Mixed reality
Augmented humans and Robotics
Additive manufacturing (3D printing)
Blockchain
Collaboration, mobility and social networks
Cloud
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Step change in performance through building a data
driven company
Culture & Organisation
WHAT THERE IS
A lot of data…
WHAT WE WANT
Data Driven Decisions
Technology and Infrastructure
Cloud Big Data and Advanced Analytics
WHAT WE NEED
Enablers
People and Skills
Innovative Connected Flexible Empowered
The right information
To the right people
At the righttime
In the rightcontext
Internet of Things
Software Eng
And many more…
Data Science
UI/UX
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Myths v/s Facts
In aviation, Digital is challenging to apply
and to benefit from
WRONG! We have achieved 2-digit
improvements in over 60 implementations
WRONG! With the right priorities, partnerships
and skills acquisition we can do itHeavy hardware industry will be clueless in a
transformation driven by software and B2C
Aerospace has the luxury of time and
protection and will be a late adopter
WRONG! Heavy, regulated industries are
first targets for digital disruptors
Our product and operations are already
super optimised
True, but ONLY from a hardware
perspective. Fine-grained operqtions and tail-
centric optimization unleashes significant
value
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Myths v/s Facts
Our current business models will be difficult
to challenge and will ultimately prevail
WRONG! New paradigms such as ‘zero
aircraft on ground’ (Zero-AOG) and adaptative
aircraft will emerge
WRONG! Revamped information technology
serves as a core enabler and differentiator
Information technology is not a strategic or
core function
EXCLUSIVE Data OWNERSHIP is the path
to value
WRONG! SHARING data creates common
value, enabled by technology with no
compromises on security
Digital is all about new technologiesNO! Technology is only a part of it, a real
business and mind set transformation is the
key to digitalization success
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12
Teaching the elephant
to dance