Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA

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Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA
Innovation

Aviation Data Symposium
Berlin 20 th June 2018

Juan Iván Martín                Andrei Grintchenko
Head of Innovation, FDS, IATA   Head FDS BI Projects, IATA
martinj@iata.org                grintchena@iata.org
    linkedin.com/in/jimartin        linkedin.com/in/grintchenko
                                       Aviation Data Symposium 2018
Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA
Things to look at
                                                                                                       Uberization
                                               Blockchain                                                (Sharing
                                                                                                        Economy)                                                                   Big Data
                                                                                                                                                                Predictive
                                Fraud                                                                                       Patents                             analytics
                              Prevention                                                      Self
                                                                Biometrics                  booking
                                                 D igital                                    tools          P latfo rm                                                       B u sin ess    Cloud
                                                 T ru st                                                    Eco n o m y                                                    In telligen ce Computing
                                                                                                                                                                 Meta
                                                                                                                                                              -searching
                                   Crypto                                                           Dev                   Open
                                 -currencies           Tokens                                      Portal                 APIs
                                                                                                                                                                             iOt           A.I.

                                                                                  Inter
               Millennial                                                       -modality                                                    Electric
               consumer       Social                                 Speed                                                                   Vehicles
     Mobile                   Media                                 of sound                Low cost                                                          Drones
                                                                                             models                               Robotics
                                                                     flights
                 D igital        Gaming                                           N ew                                                       In telligen t
    BB        C u sto m ers                                                      T ravel                                                      V eh icles
  onboard
                                                                     Space                                                       Sensors
                               3D glasses                          travelling               3D printing                                                      Autonomous
      Wearables               +augmented                                                                                                                       Vehicles
      & internet                 reality                                        Parabolic                                                    Renewable
      of things     Apps                                                         flights                                                      Energies

                                                            OPEN INNOVATION ECOSYSTEM
                                                                                                                                                Aviation Data Symposium 2018
Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA
Ongoing projects

       NDC            IDM           1ID            EP

                             IATA           Open           TIP
             IFG                            APIs
                             Coin

                                                    NDC           Etc…
                   1 Order          NGISS           Link

                                                           Aviation Data Symposium 2018
Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA
Things we do around data

   Aviation   Promoting    Open           Governance
    Data      acceptance   APIs            & Control
    Model

                                  Aviation Data Symposium 2018
Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA
Innovation Jam
                          S7 example (2/2)
   THANK YOU!

 Juan Iván Martín
                                             Andrei Grintchenko
 Head of Innovation, FDS, IATA               Head FDS BI Projects, IATA
 martinj@iata.org                            grintchena@iata.org
   linkedin.com/in/jimartin                      linkedin.com/in/grintchenko
                                                    Aviation Data Symposium 2018
Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA
LUfthansa Innovation
        Hub
       June 19th 2018
Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA
Overview

  GmbH since January 2015

  Team:
End of 2014: 8 employees
Today:       21 employees

   Mix of externals and internals:
Combination of entrepreneurial know-how with years
of Lufthansa experience and airline expertise
Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA
WhAt’s hAppening in trAveL &
 MobILITY tech And why is it
  reLevAnt TO LuFthAnsa?
Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA
Technological progress is changing daily life

  2005 | $99    Conclave Pope Benedict XVI.

  2013 | $99    Conclave Pope Francis
Innovation Aviation Data Symposium Berlin 20th June 2018 - IATA
Today’s economy is tech-dominated!

 2011-2017: Largest Companies by Market Cap        Top-10 largest companies by market cap
                                                   grouped by industry affiliation

                                                                         1             1      1
                                                                  3            2
                                                         4
                                               6                                       4      3

                                                         2        4      6      5

                                               2

                                               2         4        3      3     3       5      6

                                              2011      2012     2013   2014   2015   2016   2017

                                                     Oil Companies
                                                     Other Industries
                                                     Tech Companies
The speed of innovation within Travel &
Mobility Tech is skyrocketing

Note: 8-Year graph based on available data on disclosed funding rounds
Source: LIH analysis in cooperation with Pitchbook (as of Feb 15, 2018)
Forming a few of today‘s most valuable private companies
in the world

Source: LIH analysis in cooperation with Pitchbook (as of Feb 15, 2018)
WHAT’S THE ROLE OF THE LIH IN
       THIS CONTEXT?
Our Mission

              Our mission is to quickly
              explore new digital
              opportunities for Lufthansa
              Group and convert them into
              businesses.
Strategic fields of action

          Build
          Develop and build our own digital products & services.

          Partner
          Foster selected partnerships between digital players and
          Lufthansa Group.

          Invest
          Educate and support Lufthansa Group at strategic venture
          capital investments in startups.
Partner: LIH initiates collaborations with
Travel & Mobility Tech startups
  Strong focus in 2014/2015

             300+               40             5
                                                    Co-creation
                                                     Projekte
                                                   implementiert
                               Co-creation
                                Co-creation
               Startups
               Startups
                              Opportunitäten
                              Opportunitäten
               evaluiert
                               identifiziert
                               identifiziert
Build: LIH validates business model innovations

  Strong focus since 2015

                             We entirely focus on customer needs.
                             (starting point = painpoints ot the traveler)

                             We quickly act using prototypes
                             (Fail fast)

                             We use validated data to improve products
                             (Data beats opinion)

                               Value hypothesis
                               Growth hypothesis
Every product starts as a
“Minimum Viable Product“

   Customer

              1   2    3    3b   4
   Customer
PRODUCT EXAMPLES
AirlineCheckins.com

Automatic check-in assistant for
more than 200 airlines worldwide
The current state of airline online check-in
Lufthansa Open API –
  developer.Lufthansa.com

  Programming interface opening up
  the Lufthansa data world to
  external and internal developers

  LATEST NEWS BY TODAY

BOOKING CAPABILITY VIA THE
   OPEN API AVAILABLE!
Investment Fleet Logistics

First ever startup investment by
Lufthansa Cargo

The LIH supported throughout the
whole process – from screening the
Cargo Tech market to the closing of
the investment
We design the
happy journey of
tomorrow
For more insight follow our Travel &
       Mobility Tech Radar

    lh-innovationhub.de/radar/
THANK YOU!
Innovation Jam:
              IATA Hackathons - Innovation in Action

Ö Ursula Silling,
       CEO, XXL Solutions & India Hackathon Jury Member
Ö Juan Oliver
       Manager, FDS Business Intelligence Projects

                                                          Aviation Data Symposium 2018
Aviation Data Symposium 2018
2 3 -2 5 FEB R U A R Y, 2 0 1 8

Ö Challenge: Personalization               Ö Challenge: Ancillaries Cross-Sell
Ö Winner Team: RMS                         Ö Incuation Phase

                                                          Aviation Data Symposium 2018
Aviation Data Symposium 2018
Aviation Data Symposium 2018
IATA Hackathons
Innovation in Action
After 28 hours on non-stop coding…

Winners of the IATA NDC Hackathon “DATA Corporate
Prize” held in Kochi, India on February 2018:

Revenue Management Systems

        Travis Lewis
        Fabian Widyadri
        Michael Peters
Our inspiration…                                                                                                     Age of customer
                                                                                                                       • 100% customer centric
                                                                                                                       • Dynamic pricing
                                                                                                                       • Data Intelligence; AI and ML

                                                                             Age of information
                                                                              • Focus on predictive analysis
                                                                              • Transformation from product
                                                                              centric to customer centric                                  x
                                                                                                                                       -20x
                                                                              • Introduction of CRM systems                        2015
                                     Age of distribution
                                       •   Focus on wider distribution
                                       •   Introduction of GDS
                                       •   First data structures created                            -2015
                                       •   Introduction of different fares                      2000

Start of Commerce
  • Tickets sold via sales agents.                               2000
  • No price differentiation                                1975-
  • Product priced as airfare                                                                                                                              Stage IV
                                                                                                                                          Stage III
                                                                                                                                                        Inspired
                         -1975                                                                                    Stage II                              By Customers
                     1950                                                                                                             Engaged
                                                                                             Stage I                                  With Customers
                                                                                                               Responsive
                                                                                                               To Customers
                                                                                        Targeted
                                                                                        On Customers
Our inspiration…

                   Base Product Offer

                      Upsell Offer

                     Cross-sell Offer

                        Payment
The idea pitch

Airlines using NDC can improve their sales conversion by having a better process around
customer profile recognition. Our challenge is to identify the customer profile, their
willingness-to-pay and offer interests by help of micro-segmentation.

By help of AI we can identify the customer profile, optimize the product shelf by bundling
the base offer, upsell offer and cross-sell offer in the most effective manner with the
ultimate goal to improve the conversion of the customer throughout the sales funnel.

Our process will establish a active feedback port with the revenue management system
which can recommend flight re-optimization by help of actual demand insights versus
demand forecast (using only historical bookings).
Optimizing the airline commercial paradigm

    ORIENTATION                BOOKING                   UPSELL             CROSS SELL                     NPS

   >>                     >>                       >>                      >>                     >>
    Can we identify the   When a booking is        Can we focus on         Can we provide         What can we
    customer in the       made, can we offer       better offer and        added value or a       improve to ensure
    stage where it is     the right price at the   order management        favorable position     that the customer
    orienting for a       right moment in          so the product shelf    by offering services   fly us again, or
    ticket, and ‘help’    time without             is not a distraction?   for convenience?       better, recommend
    him to look at you?   dilution?                                                               us to others?
Why join an IATA Hackathon?
        Knowledge Mining                    Time Management                            Be innovative
           The ‘Next-Gen’ of RM evolves      A sense of urgency created by             A hackathon is all about
            around commerce. NDC will        time and competition creates       innovation. Validate our ideas,
         likely play an important role in     an environment which steers      compiling data to put decisions
             that. We need to tiptoe the        for creativity impossible to   in the right context, determine
               knowledge pool and get            recreate in a true business             scalability, and so on
                  exposure in the field                        environment

                   Networking               Breaking routines                               Having fun
           Understand the ‘state of the       Sometimes, we can be a little        Get a positive vibe from an
        technology’ and meet with the       full of ourselves that we forget   environment where people are
         industry innovators which are         to share with and learn from    passionate to innovate, disrupt
          involved with the marketing,        others. Hackathons is a place               the status quo, pass
                practices and concepts           where we can realize our           boundaries and are highly
                  development of NDC            strengths and weaknesses                           ambitious
Some impressions
Finding the right accuracy…
         35%                        45%                        56%                       81%                       66%                        90%

       End of                 Relevant Data              Change in ML                 Highest                  Not always              Our determined
      Hackathon                  Sources                   methods                Accuracy Score             improvement                  sweat spot

           After the NDC Hackathon, the first challenge was to test the data on real airline data. In iterations of 2 weeks, we test over a
                                                                          dozen

                      of airlines and measure our classification accuracy. The regression accuracy is related to the success of our
                ability to match the correct classification profile on a Shopping Request. We are still in a experience of big data shifts.
Thank You!
OliverJ@iata.org
                   Aviation Data Symposium 2018
The Twelve Labors of
 mastering Big Data
    an Amadeus experience

                                      Pascal Clément
                            Head of Airlines Data Unit
                                             Amadeus
January, 2013
                                                                         Where do we start?

© Amadeus IT Group and its affiliates and subsidiaries
Data Silos                     WHAT IT LOOKS LIKE

_ Where the problems start

                             WHAT YOU WISH IT LOOKED LIKE

                                                            © Amadeus IT Group and its affiliates and subsidiaries
GDPR?
                                              _ Who? Where? How? Legal?
                                                                          Data Access
                                                                          Governance

© Amadeus IT Group and its affiliates and subsidiaries
Analytical vs.
Transactional
_ Bringing analytics in a world

                                  © Amadeus IT Group and its affiliates and subsidiaries
 mastering transactions
Cost &
Investment
_ You quickly realize that

                                © Amadeus IT Group and its affiliates and subsidiaries
 storage and computation goes
 far beyond what you think
Speed &
Agility
_ Analytics and Big Data

                           © Amadeus IT Group and its affiliates and subsidiaries
 needs much more speed
 and agility than legacy
The Budget
Problem
_ How do you manage financing

                                © Amadeus IT Group and its affiliates and subsidiaries
 experimentation vs. plan?
Build Data Science
Capabilities
                              THE BEGINNER

_ A Data Science capability   THE MASTER

                                             © Amadeus IT Group and its affiliates and subsidiaries
 needs much more than
 data scientists
Data preparation &
Quality
_ Data is NOT ready for analytics

                                                         © Amadeus IT Group and its affiliates and subsidiaries
                                    PREPARATION IS KEY
Industrialization
Operation. Security
                                     REALITY

_ Needs to be built for thousands

                                                   © Amadeus IT Group and its affiliates and subsidiaries
 of users all over the world

                                    EXPECTATIONS
Keeping Data
Scientists Happy
_ They receive a job offer

                             © Amadeus IT Group and its affiliates and subsidiaries
 every day
_ It’s becoming critical
                                                                                    Real time

© Amadeus IT Group and its affiliates and subsidiaries
_ The ultimate Big Data Goal
                                                                                        Automation

© Amadeus IT Group and its affiliates and subsidiaries
Conclusion
      5 years of real life experience

    You can benefit from our
  experience through a 2 weeks

                                        © Amadeus IT Group and its affiliates and subsidiaries
assessment on Big Data Maturity
Big Data Maturity Model                                                                                                                       Here, you appear
                                                                                                                                              level 1. Timing > 1
Data Platform and Architecture                                                   Lead Time for Resources
                                                                                                                                              month. Let’s see the
                                                                                                                                              next steps to reach
                                                                                                                                              level 2 then 3.
                                                                                Readiness for new project
                                                                                              4
                      Here, you appear level 2
                      Let’s see the next steps                                                3                                     Data Retrieval
                      to reach level 2 then 3       Storage         4                                                               (Input into platform)
                                                                                                                            4
                                                                            3                 2                     3
                                                                                     2
                                                                                                          2
                                                                                         1    1
                                                                                                  1                                                 Here, you appear level 1
                                                                                                                                                    Batch & Relatively small
                                                                                         1            1                                             data only. Let’s see the
                                                                                                                                                    next steps to reach level
                Here, you appear level 1.                                        2                            2                                     2 then 3
                Too much in Silos with its own
                technologies. No Share. Let’s                           3                                               3

                                                                                                                                                                                © Amadeus IT Group and its affiliates and subsidiaries
                see the next steps to reach                     4
                level 2 then 3.                                                                                                 4

                                                 Cohesiveness
                                                                                                                                    Programming
                                                                                                                                    Framework

                                                                                                                  Here, you appear level 1
                                                                                                                  Batch and relatively small
                                                                                                                  data only. Let’s see the next
                                                                                                                  steps to reach level 2 then 3.
Thank you!

amadeus.com            You can follow us on:
amadeus.com/blog   AmadeusITgroup
How Airlines can
harness and
leverage data

Rodrigo Ramos
Managing Director, Sabre Iceland
Product Head of Intelligence Exchange

20 June 2018
Key challenges for airlines to leverage data

      The PSS is not          Complexity of bringing     A customer-centric          There is a huge need for
   designed for custom       together disparate, data     business requires            airlines to leverage
   business process and       sets to achieve digital   non-core systems to           more data and a DWH
    sense and respond            transformation         have customer data                is not enough
          actions

                  12      of enterprise data is
                          typically utilized for
                          analysis
                                                        29        of the IT budget is now
                                                                  generated by business unit
                                                                  investment rather than IT

Source: Gartner                                                                          ©2018 Sabre GLBL Inc. All rights reserved.   2
“IT application development time is highly correlated
with IT’s impact on business performance…”

                                 “The speed… to convert mass amounts of
                                 customer data into insights, and insight into action
    Forrester Research           is now a critical differentiator.”
                                                                     ©2018 Sabre GLBL Inc. All rights reserved.   7
Intelligence Exchange: the open airline enterprise agility platform

    Apps and processes

    Sense and respond

     User experience

    System of reference

     System of record

                                                                  ©2018 Sabre GLBL Inc. All rights reserved.   10
Intelligence Exchange MICRO-APPS

   An ecosystem of
  micro-apps built on
    the Intelligence
  Exchange Platform
             https://vimeo.com/274572139/50f82f670e
What is a Micro-App?

                            PLACE WEB APP
                               OR SITE
                              Micro-App
                             SCREENSHOT
                                HERE

                    Business process templates
                  75% standard / 25% configurable
                Take action across enterprise systems
                 Deploy fast to save time and money

                  marketplace.sabre.com/IX
Solve PERVASIVE BUSINESS CHALLENGES
across the customer journey

 Personalized Trip Prom otions                          Top Tier Auto Upgrades

                 Earn incremental revenue    Enable customer centricity

     Fare Error Detector                                    Real Tim e Flight Analysis

                 Prevent revenue leakage    Streamline airline operations
Last Minute Upgrades checks for upgrades
and automatically notifies qualified
customers based on tier or other criteria.

     On the day of departure,      In order to fill that cabin,    Based on rules in the
   WorldWide Air identifies that    WWA decides to offer          Micro-App, promotions
   they have unsold seats in a     promotions to qualifying       are sent to customers
         particular cabin.         customers to encourage         and front-line agents.
                                          upgrades.
Imagine if… you could automatically manage seat swaps in real-time based on
customer data

                                          Tailored Opt-In Message
                                          • Customer can opt-in to receive a better seat on
                                            their existing flight

                                                              Seat Swap Notification
                                                              • If two or more customers are matching
                                                                candidates, assign seat swap

                                                                       Successful Seat Swap
                                                                       • Customer is automatically notified of a
                                                                         successful seat swap

                      T icket is s u ed        C h eck-In                  D ep a rtu re                A rriva l

                                                                                                                      Reduced                         Improved
                                                                                                                       Agent                         Customer
                                                                                                                    Handling Cost                    Experience
            Booking
             made

                                                Use implicit and explicit customer
                                                data to determine optimal re-seating.
                                                                                                                    ©2018 Sabre GLBL Inc. All rights reserved.   12
Imagine if… you could automatically manage ancillary integrity to increase
incremental revenue

                       Paid Seat is Reserved
                       • A paid seat is reserved, but payment is not complete

                                              Check-in Notification Sent
                                              • A Guest is unable to check-in until AirExtra fee is paid

                                                                   Additional Abuse is Detected
                                                                   • To avoid additional inventory abuse, app continuously
                                                                     checks for the application of new waiver rules

                          T icket is s u ed        C h eck-In            D ep a rtu re                      A rriva l

                                                                                                                                                               Reduced
                                                                                                                               Increase                         Agent
                                                                                                                               Revenue                         Servicing
             Booking                                                                                                                                             Cost
              made

                                                     Should AirExtra fee be waived be based
                                                     on customer data or airline rules?
                                                                                                                             ©2018 Sabre GLBL Inc. All rights reserved.   13
Sabre Intelligence Exchange Customer Spotlight
                                          Sabre Intelligence Exchange will continue to
                                          support engagem ent with our custom ers and
                                          drive perform ance for our business.

                                                                                   Shane Tackett
                                                         Vice President, Revenue and Ecommerce

  Goal                                         Solution
  • A seam less experience for their           • Im plem ented Sabre Intelligence Exchange in
    elites, where they can either be             2016
    autom atically upgraded to the             • Partnered with Sabre to develop Elite seat
    existing first class product, or to          upgrade app
    the new prem ium class product
                                               • App was com pleted at a low cost and on-
  • M anage all the logic of upgrading           tim e by leveraging the IX platform
    elite m em bers with flexible rules
    around m ultiple flight, value, and
    profile attributes                         Results
                                               • The m ost flexible and user-friendly elite
  • Continuously evaluate new                    upgrade process in North Am erica
    bookings across the sam e criteria
                                               • Added optionality upgrade options based on
                                                 tier status, date and tim e, and inventory

                                               • Im proved retention of prem ium tier
                                                 custom ers
                                                                                                   ©2017 Sabre GLBL Inc. All rights reserved.   11
Differentiating the customer experience through seamless upgrades

     At                      3 Days                     During
   Booking                   before                    Check-in
                            Departure
  Upgrade to                Upgrade to                  Prioritize
   Premium                   Premium                  Upgrade List
   or Cabin                  or Cabin                 (re-check-in)

                5 Days                     1 Day
                before                    before
               Departure                 Departure                    Increased           Improved customer
                                                                       revenue                experience
               Upgrade to                Upgrade to
                Premium                   Premium
                or Cabin                  or Cabin

                                                                          ©2018 Sabre GLBL Inc. All rights reserved.   14
How Intelligence Exchange Solves The Problem?

         Identify                Prioritize               Execute

          Leverage IX        Enrich and analyze           Business Rule
       Integrated Cross         data to create         Engine with actioning
         Domain Data         prioritization of Elite      capabilities to
                                   Members              execute upgrades

            Clear expectations to Elite members on upgrade availability

  Incremental Revenue • Customer Experience • IT Cost Savings
POC - Fast time to market

             1 Programmer
                 3 Days
            200 Lines of Code
Intelligence Exchange: A growing and thriving community
                                               Americas           EMEA
                             •   Aerolineas Argentinas        •   Adria Airways       •   Croatia Airlines
Sabre Intelligence           •
                             •
                                 Aeromar
                                 Aeromexico
                                                              •
                                                              •
                                                                  Aegean Airlines
                                                                  Aeroflot
                                                                                      •
                                                                                      •
                                                                                          Emirates
                                                                                          Ethiopian Airlines
                                                                                                                   APAC

Exchange community           •   Air Canada                   •   Afriqiyah           •   Etihad                   •   Air Niugini
                                                                                                                       Air Tahiti Nui
60+ airlines
                             •   Alaska Airlines              •   Air Berlin          •   Etihad Regional          •
                             •   American Airlines            •   Air Serbia          •   Gulf Air                 •   Angkor Air
                             •   Aserca                       •   Air Seychelles      •   Icelandair               •   Bangkok Airways
                             •   Azul Linhas Aereas           •   Alitalia            •   Jet Airways              •   Cathay Pacific
                                 Brasileiras                  •   Atlantic Airways    •   JetKonnect               •   Dragon Air
                             •   Bahamasair                       Faroe Islands       •   Kuwait Airways           •   PAL Express
                             •   Canadian North               •   Austrian Airlines   •   Norwegian Air            •   Philippine Airlines
                             •   Cayman Airways               •   Avior                   Shuttle                  •   Vietnam Airlines
                             •   COPA                         •   Belavia             •   Oman Air                 •   Virgin Australia
                             •   Frontier                     •   British Airways     •   Pakistan
                             •   Hawaiian Airlines            •   Comair/Kulula           International
                             •   JetBlue                                              •   Royal Jordanian
                             •   LATAM Chile                                          •   Saudi Gulf
                             •   Ravn Alaska                                          •   Virgin Atlantic
                             •   SBA Santa Barbara Airlines                               Airways
                             •   Southwest Airlines
                             •   Sun Country
                             •   Virgin America
                             •   Volaris
Regular interactions,        •   WestJet
conferences and user
workshops around the world

                                                                                                               ©2018 Sabre GLBL Inc. All rights reserved.   15
The power of the industry-only Intelligence Exchange
platform

25 60                                                             60
                      In production
                      at more than
                                                         Over
                                                         micro apps
                                                         in production
                  of global
              %   bookings                    airlines

              5
Integration with
reservation systems            Over   8
                               data domains

                                                                                                                16
                                                                         ©2018 Sabre GLBL Inc. All rights reserved.
Q&A

      ©2018 Sabre GLBL Inc. All rights reserved.
      ©2017                                        17
©2018 Sabre GLBL Inc. All rights reserved.   18
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