Presentation given at the TAP Portugal MRO Summit (#MROSummit) and Aviation Week Aero-Engines Europe (#AEEUR) in September 2016

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The Value of
Collaboration
Big Data and
Advanced Analytics
in Aviation

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The challenges and opportunities across the aviation industry
The Value of Big Data Advanced Analytics

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Delays cost the airline industry $5 billion
annually.

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No Fault Found (NFF) cost airlines an
estimated $185,000 per aircraft per year
(~$1.5B commercial + $~2B military per year, not including schedule and
passenger experience impacts).

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A 2% performance improvement from
prognostic capabilities result in $3.6
billion annual fuel benefits across the
global civil aviation industry.

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The average aircraft generates 217,500
pages of paper over its service lifecycle
costing the industry $3.9 billion over the
next 30 years.

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Dissimilar data standards and
regulatory requirements cost the aviation
industry $7.3 billion over the past
twenty years.

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Current defect monitoring AHM solutions
represent a $0.4 Billion market - with
Predictive Maintenance and Autonomics
estimated to exceed $3.2 Billion by 2020

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These are industry challenges & opportunities

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Sense & Respond Logistics or Autonomics is not new to Aviation
The Industrial Internet

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The Internet of Things: 50 Billion Connected Devices

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Everything sensored, connected, analyzed & mobile

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The Internet of Connected Smart Things …

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… is about achieving Smart Outcomes
Labor productivity (FTF / MTTR)
Material / inventory turns
Component reliability (NFF)
Maintenance program reliability
Dispatch Reliability (punctuality)
Maintenance CPFH stability
Accurate & Precise Knowledge
Actionable Decision Support
Faster Smart Profitable Operations

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The Industrial Internet
“The Internet of Things isn’t about the Internet
or about Things
it’s about Outcomes!”
Copyright © 2015 Aircraft Commerce – AircraftIT MRO eJournal, The Internet of Flying Things Part 2 by Michael Wm. Denis

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Big Data, Analytics, Predictive Operations for Risk Reduced Profitability
The Aviation Industrial Internet

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Aircraft & engines generate lots of sensor data …
6,000 Sensors / Aircraft
1 TB / Aircraft-Day
340 Operating Days / Aircraft Year
18,000 Aircraft
6.1 Exabytes / Year
5 Exabytes = All words spoken by all humans since the beginning of time

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… and airlines’ generate even more operational data
Copyright © 2016 Oliver Wyman, MRO Bid Data, A Lion or a Lamb – Innovation & Adoption in Aviation MRO

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The Aviation / Aerospace Reference Architecture …

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… and the Industrial Internet are enabling change.
 The Aviation Industrial Internet is:
 Closing the gaps in the Digital Thread
 Enabling the digital Virtual Twin
 Enabling collaborative Model Based
Systems Engineering
 Enabling improved leverage of
standardized data and processes
 Enabling open source technologies at
significantly reduced costs
 Enabling open source advanced
analytics such as machine learning,
deep learning, case base reasoning …
 Enabling universal Asset Performance
Management and improved financial
performance management @ reduced
risk

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The Industrial Internet enables Predictive Operations

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Predictive Ops follows a Capability Maturity Model

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The challenges and opportunities cross the entire aviation industry
The Case for Aviation Collaboration

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One Airline’s Use Case July 2015
1 Airline Data Set – 2 Years ATA ch 27
1 Engineer
1 Data Scientist
1 Week
7 Day Component Failure Prediction
Machine with 88% Accuracy

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One OEM’s Use Case ~ 2015
Agile /
DevOps
on a
PaaS
equals
Speed to
Market

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Industry developed airline operations use cases

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Potential barriers to airline success
Control of Operational Data
Control of Markets = First to Market
Control of Standards (i.e. S5000F)
Control of Solutions (open modular platforms)
Control of Disruption = Collaboration

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Airlines are collaborating to develop open source,
standards based, cloud solutions
86
Number of airlines
committed to NDC
23
Number of airlines live
on NDC v1.1
4
Capgemini working with
EU and US carriers to
advance NDC
2
Hackathons
IATA Resolution 787 – New Distribution Capability

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But multiple Tools do not a Solution make
 Airbus Airman
 Boeing AHM
 Bombardier AHM & ADS
 Embraer AHeAD
 GE SmartSignal & Predix
 Rolls-Royce Operations & Controls
 Pratt & Whitney ADEM
 …
 Delta TechOps
 Air France Industries
 KLM E&M
 FedEx
 Lufthansa Technik
 AAR Data Services
 AeroXchange
 …
Every OEM has a Tool Operators need a Solution

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The case for an OEM agnostic Airline Solution
“The future of machine learning
predictive maintenance and
prognostic health management
is looking more and more to be
an airline led consortium
solution, built by airlines, for
airlines, integrated to airline
MRO and FOS systems and
designed so that airlines can
share data between themselves
without OEM interference.”
Copyright © 2015 Aircraft Commerce – AircraftIT MRO eJournal, The Internet of Flying Things Part 2 by Michael Wm. Denis

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Parting Thought
“If you went to bed last night as an industrial
company, you're going to wake up this morning as a
software and analytics company. The notion that there's
a huge separation between the industrial world and the
world of digitization, analytics and software is over.”
Jeff Immelt, CEO General Electric

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Questions?

33. The information contained in this presentation is proprietary.
© 2016 Capgemini. All rights reserved.
www.capgemini.com
About Capgemini
With 180,000 people in over 40 countries, Capgemini is one of the world's
foremost providers of consulting, technology and outsourcing services. The
Group reported 2014 global revenues of EUR 10.573 billion (about $14 billion
USD at 2014 average rate).
Together with its clients, Capgemini creates and delivers business, technology
and digital solutions that fit their needs, enabling them to achieve innovation
and competitiveness. A deeply multicultural organization, Capgemini has
developed its own way of working, the Collaborative Business Experience™,
and draws on Rightshore®, its worldwide delivery model. Learn more about us
at www.capgemini.com.
Rightshore® is a trademark belonging to Capgemini

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About Capgemini Aviation

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About Capgemini Aviation

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About Me
Skills
 Gas Turbines Engineer, US Navy
 Surface Warfare Officer, US Navy
 Damage Control Officer, US Navy
 Service Lifecycle Management (SLM)
 Product Lifecycle Management (PLM)
 Enterprise Content Management (ECM)
Detailed Experience Summary
 Core leadership team member that led the company to 13%, 33% and
37% CAGR over a three year period at Flatirons Solutions
 Led the Product Development of Flatirons SaaS based Mobility Content
and Compliance Management (MCCM) solution from business case
development, solution development sourcing, solution design, pricing,
marketing and first sale and implementation at American Airlines
 Developed the aviation industry standard enterprise business and
solutions architecture for the integration of Product Lifecycle
Management (PLM), Service Lifecycle Management (SLM) and Content
Lifecycle Management (CLM)
 Middle East Airline and for profit MRO: Led the enterprise architecture
and information technologies transformation analysis and planning
aspects of the clients’ MRO 2020 Modernization project.
 US Airline Merger: Advised the senior executive team during the third
largest merger of two airlines in the past twenty years, specifically
analyzing the process and technology integration plans for their single
operating certificate and developing risk scenarios and mitigation plans
for the technical operations division. Subsequently conducted and
prepared a board directed post-merger IT assessment report.
 US Air Line Technical Operations: Multi-year team member for the
client’s “Next Generation MRO” process reengineering and technology
architecture initiative. Implemented multiple solutions
 US Air Force: Application Architect and Developer on the Integrated
Maintenance Data System development project
Michael Wm. Denis
Title: Principal
Years of Experience: 29
Other Information
Location: Atlanta, GA
 Education:
̶ MS Decision Science, Robinson College, Georgia State University
̶ BS Nuclear Engineering, Georgia Institute of Technology
Michael Wm. Denis brings twenty-nine years of experience in
industrial services industries with significant P&L responsibility in
consulting, M&A strategy, software development & implementation
and performance based outsourcing.
Coined the term Service Lifecycle Management (SLM) as a
business and technological capability in 2004, following years of
field analysis, R&D, and the development of eleven patents. Deep
field experience in Autonomics and Sense & Respond Logistics,
military terms for industrial Internet of Things (IoT).
Focused on delivering performance and subscription based XaaS
solutions and servitized business models to organizations seeking
to optimize profits of complex asset in capital intensive, cash flow
sensitive industries.
Author and columnist on business and technology for Aviation
Week, Aircraft Commerce, and ATE&M magazines.
Industry Experience: Airlines, Aerospace, Defense, Rail