SlideShare une entreprise Scribd logo
1  sur  18
Télécharger pour lire hors ligne
Improve passenger experience at Brussels
Airport through (real-time) analytics on a 24/7
cloud architecture
My career path: good move?
ICT/Data is core
State-of-the-art IT
Loads of customer data
Construction is core
ICT ran by CFO -> ICT == cost
No pax data
2
Why?
Opportunity to become the best airport in Europe, starting from a
greenfield approach in data & analytics
3
Data
Make Brussels Airport the SMARTEST airport COMMUNITY
4
Through (automated) data driven decision making across all levels
Based on 4 strategic pillars, going far beyond the classical BI
5
Management
Customers
Operational
Partners
BusinessInsights
Data-drivenprocessesDataasanAsset
Personalization
A completely new (real-time) analytics architecture on AWS Cloud is
defined
6
TM1
Business Focus Technical Focus
The DnA organisation evolved from 10 Pentaho/MicroStrategy FTE
into a team of 40+ business and technically broadly skilled resources
CXO
Analytics Mgr
Commercial &
Supporting
Analytics Mgr
Cargo, ABD &
Operations
Analytics Mgr
Digital
Agile Delivery
Manager
Data Architecture
& Governance
API & Integration
Services
Head of Data &
Analytics
Data Analyst/
Engineer
Information
Architect
Data Governance
Manager
DevOps Engineer
Product Manager
API Architect
Technical Product
Manager
Analyst/Engineer
Tester
DevOps Engineer
Business Analyst Business Analyst Business Analyst
Vacancy
Vacancy
Vacancy
Vacancy
VacancyVacancyVacancy
The DnA team works according to a 3-speed delivery model
8
WHY?
• Retain Business Value creation
• Maintainability of the Run
WHAT?
• Projects
• Industrialize Prototypes/POC’s
HOW?
• Project & Portfolio Mgt
• ~ 65% capacity
LONG HAUL team(s)
WHY?
• Quick service to business
• Safeguard predictability in SH/LH
WHAT?
• Issue resolution
• Urgent ad-hoc requests
HOW?
• 24h turnaround time
• ~ 15% of capacity
EXPRESS Squad
WHY?
• Create Business Value
• Learn and Fail, then Industrialize
WHAT?
• Prototypes and POC’s
• Quick Business Value
• Complex analytics
HOW?
• Business value in 2-3 weeks
• ~ 20% of capacity
SHORT HAUL Squad
Currently 3 Long Haul squads in place, supported by the DnA
Architecture & Governance squad
9
WHY?
• Retain Business Value creation
• Maintainability of the Run
WHAT?
• Projects
• Industrialize Prototypes/POC’s
HOW?
• Project & Portfolio Mgt
• ~ 65% capacity
LONG HAUL team(s)
Commercial & Support
Area
Sales Procurement
Finance Digital
HR 360° pax view
Marketing
Rackham Squad
Airport Operations
Plan
Trident Squad
Operational Area
AeroSmurf Squad
Data Architecture and Governance
• Data Platform Setup
• Data Quality
• Data Security
• …
Magritte Squad
Priorities of capability building driven by Business Needs
Let’s have a look at how we drive operational decision-making
through analytics
10
Management
Customers Partners
BusinessInsights
Data-drivenprocessesDataasanAsset
Personalization
Operational
The Airport Operations Plan (AOP)
11
Optimize efficiency and improve E2E passenger experience?
Based on the flight
schedule and pax arrival
patterns, forecast the
required resources
Execute the plan and
pro-actively take actions
on planning changes
Evaluate the forecast
and actions taken
Define and implement
improvements
Resources to plan:
@Check-in
@Security
@Border Control
@Baggage handling
@Cleaning (toilets)
…
Example: pro-actively avoid missed connections
Waiting times are predicted in real-time to identify connections at risk
Predicted
waiting time at
security @20:11
Predicted waiting
time at border
control @20:19
Actions:
- Get first from plane
- Give walking directions
Actions can be taken to avoid lost connections
14
11
Actions:
- Get first from plane
- Give walking directions
- Give fast lane access
- Ask airline to delay flight
We will also improve the experience of pax with lost connections
15
Actions:
- Inform pax when debording
- Ask airline to rebook flight
We are the first airport in the world to predict Waiting Times
- BLIP sensors (BLIFI)
- Metal detectors
- Boarding pass scans
FROM
Waiting Time = WT of
person that left the
queue
TO
Waiting Time = WT of
person that entered
the queue
&
Predicted WT =
Expected WT within
30’, 60’, 2h, 4h
Conclusions
• Based on the ambition to become the best Airport in Europe, Brussels
Airport decided to strongly invest in data & analytics as a crucial enabler to
reach this ambition
• A 24/7 state-of-the-art data platform is being implemented on AWS cloud
for reasons of flexibility, time-2-market and scalability
• The DnA strategy is going far beyond the classical BI for management and
drives personalization and data-driven decision making in operational
processes
17
18
Thank you for being my
passenger today!

Contenu connexe

Tendances

What is DaaS
What is DaaSWhat is DaaS
What is DaaS
magic2011
 
Verti cloud basedbi_marketing
Verti cloud basedbi_marketingVerti cloud basedbi_marketing
Verti cloud basedbi_marketing
Darrel Vaughn
 

Tendances (20)

Acme data engineering case study
Acme data engineering case studyAcme data engineering case study
Acme data engineering case study
 
What is DaaS
What is DaaSWhat is DaaS
What is DaaS
 
Data as a service
Data as a serviceData as a service
Data as a service
 
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
 
Big Data as a Service - A Market and Technology Perspective
Big Data as a Service - A Market and Technology PerspectiveBig Data as a Service - A Market and Technology Perspective
Big Data as a Service - A Market and Technology Perspective
 
Cloud analytics
Cloud analyticsCloud analytics
Cloud analytics
 
Modernizing Data Architecture using Data Virtualization for Agile Data Delivery
Modernizing Data Architecture using Data Virtualization for Agile Data DeliveryModernizing Data Architecture using Data Virtualization for Agile Data Delivery
Modernizing Data Architecture using Data Virtualization for Agile Data Delivery
 
The Private Cloud Isn't Dead
The Private Cloud Isn't DeadThe Private Cloud Isn't Dead
The Private Cloud Isn't Dead
 
A Logical Architecture is Always a Flexible Architecture (ASEAN)
A Logical Architecture is Always a Flexible Architecture (ASEAN)A Logical Architecture is Always a Flexible Architecture (ASEAN)
A Logical Architecture is Always a Flexible Architecture (ASEAN)
 
Mapping the road to better data storage strategies
Mapping the road to better data storage strategiesMapping the road to better data storage strategies
Mapping the road to better data storage strategies
 
Accelerate Cloud Modernization using Data Virtualization
Accelerate Cloud Modernization using Data VirtualizationAccelerate Cloud Modernization using Data Virtualization
Accelerate Cloud Modernization using Data Virtualization
 
Verti cloud basedbi_marketing
Verti cloud basedbi_marketingVerti cloud basedbi_marketing
Verti cloud basedbi_marketing
 
Logical Data Warehouse: The Foundation of Modern Data and Analytics
Logical Data Warehouse: The Foundation of Modern Data and AnalyticsLogical Data Warehouse: The Foundation of Modern Data and Analytics
Logical Data Warehouse: The Foundation of Modern Data and Analytics
 
Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...
Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...
Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...
 
Foundation for Success: How Big Data Fits in an Information Architecture
Foundation for Success: How Big Data Fits in an Information ArchitectureFoundation for Success: How Big Data Fits in an Information Architecture
Foundation for Success: How Big Data Fits in an Information Architecture
 
Tim scottkoenverheyenpresentation
Tim scottkoenverheyenpresentationTim scottkoenverheyenpresentation
Tim scottkoenverheyenpresentation
 
Supporting Data Services Marketplace using Data Virtualization
Supporting Data Services Marketplace using Data VirtualizationSupporting Data Services Marketplace using Data Virtualization
Supporting Data Services Marketplace using Data Virtualization
 
Elastic community Abidjan #225 meetup 08 May 2021
Elastic community Abidjan #225 meetup 08 May 2021Elastic community Abidjan #225 meetup 08 May 2021
Elastic community Abidjan #225 meetup 08 May 2021
 
Data Virtualization: An Introduction
Data Virtualization: An IntroductionData Virtualization: An Introduction
Data Virtualization: An Introduction
 
AI is a Team Sport
AI is a Team SportAI is a Team Sport
AI is a Team Sport
 

Similaire à Improving Passenger Experience at Brussels Airport through (real-time) Analytics on a 24/7 Cloud Architecture

airportanalyticsaaoverview-.pdf
airportanalyticsaaoverview-.pdfairportanalyticsaaoverview-.pdf
airportanalyticsaaoverview-.pdf
GrayMatter Software Services
 
The digital revolution comes to Aircraft Maintenance, Repair and Overhaul (MRO)
The digital revolution comes to Aircraft Maintenance, Repair and Overhaul (MRO)The digital revolution comes to Aircraft Maintenance, Repair and Overhaul (MRO)
The digital revolution comes to Aircraft Maintenance, Repair and Overhaul (MRO)
PMI-Montréal
 

Similaire à Improving Passenger Experience at Brussels Airport through (real-time) Analytics on a 24/7 Cloud Architecture (20)

AirSensus is a SaaS platform
AirSensus is a SaaS platformAirSensus is a SaaS platform
AirSensus is a SaaS platform
 
Airport Analytics (AA+) Solution, Airport Analysis
Airport Analytics (AA+) Solution, Airport AnalysisAirport Analytics (AA+) Solution, Airport Analysis
Airport Analytics (AA+) Solution, Airport Analysis
 
Boeing Case Study | e-enabled Advantage
Boeing Case Study | e-enabled AdvantageBoeing Case Study | e-enabled Advantage
Boeing Case Study | e-enabled Advantage
 
airportanalyticsaaoverview-.pdf
airportanalyticsaaoverview-.pdfairportanalyticsaaoverview-.pdf
airportanalyticsaaoverview-.pdf
 
Lufthansa Reference Architecture for the OpenGroup
Lufthansa Reference Architecture for the OpenGroupLufthansa Reference Architecture for the OpenGroup
Lufthansa Reference Architecture for the OpenGroup
 
Big Data Analytics and Artifical Intelligence
Big Data Analytics and Artifical IntelligenceBig Data Analytics and Artifical Intelligence
Big Data Analytics and Artifical Intelligence
 
How Bluemix Helps NASA Innovate
How Bluemix Helps NASA InnovateHow Bluemix Helps NASA Innovate
How Bluemix Helps NASA Innovate
 
BritishAirways-CS-FINAL
BritishAirways-CS-FINALBritishAirways-CS-FINAL
BritishAirways-CS-FINAL
 
How Boeing is Using AWS to Transform Commercial Aviation (ENT213) | AWS re:In...
How Boeing is Using AWS to Transform Commercial Aviation (ENT213) | AWS re:In...How Boeing is Using AWS to Transform Commercial Aviation (ENT213) | AWS re:In...
How Boeing is Using AWS to Transform Commercial Aviation (ENT213) | AWS re:In...
 
ACI ACRIS Semantic Model. Airport Ecosystem Knowledge Management
ACI ACRIS Semantic Model. Airport Ecosystem Knowledge ManagementACI ACRIS Semantic Model. Airport Ecosystem Knowledge Management
ACI ACRIS Semantic Model. Airport Ecosystem Knowledge Management
 
Rakesh Patange -IT Business Projects Portfolio
Rakesh Patange -IT Business Projects PortfolioRakesh Patange -IT Business Projects Portfolio
Rakesh Patange -IT Business Projects Portfolio
 
MP Metro Final Overall Presentation with solution wise detailed slides
MP Metro Final Overall Presentation with solution wise detailed slidesMP Metro Final Overall Presentation with solution wise detailed slides
MP Metro Final Overall Presentation with solution wise detailed slides
 
Ramco logistics
Ramco logisticsRamco logistics
Ramco logistics
 
Big Data Transforms Flight Operations
Big Data Transforms Flight OperationsBig Data Transforms Flight Operations
Big Data Transforms Flight Operations
 
The digital revolution comes to Aircraft Maintenance, Repair and Overhaul (MRO)
The digital revolution comes to Aircraft Maintenance, Repair and Overhaul (MRO)The digital revolution comes to Aircraft Maintenance, Repair and Overhaul (MRO)
The digital revolution comes to Aircraft Maintenance, Repair and Overhaul (MRO)
 
Seetek company profile 2015
Seetek company profile 2015Seetek company profile 2015
Seetek company profile 2015
 
Seetek company profile
Seetek company profile Seetek company profile
Seetek company profile
 
The Digital Airline
The Digital AirlineThe Digital Airline
The Digital Airline
 
Big Data Paris - Air France: Stratégie BigData et Use Cases
Big Data Paris - Air France: Stratégie BigData et Use CasesBig Data Paris - Air France: Stratégie BigData et Use Cases
Big Data Paris - Air France: Stratégie BigData et Use Cases
 
Aircraft IT Ops V11.3.pdf
Aircraft IT Ops V11.3.pdfAircraft IT Ops V11.3.pdf
Aircraft IT Ops V11.3.pdf
 

Plus de Patrick Van Renterghem

Plus de Patrick Van Renterghem (20)

Ethical AI at VDAB, presented by Vincent Buekenhout (Ethical AI Lead, VDAB) a...
Ethical AI at VDAB, presented by Vincent Buekenhout (Ethical AI Lead, VDAB) a...Ethical AI at VDAB, presented by Vincent Buekenhout (Ethical AI Lead, VDAB) a...
Ethical AI at VDAB, presented by Vincent Buekenhout (Ethical AI Lead, VDAB) a...
 
Implementing error-proof, business-critical Machine Learning, presentation by...
Implementing error-proof, business-critical Machine Learning, presentation by...Implementing error-proof, business-critical Machine Learning, presentation by...
Implementing error-proof, business-critical Machine Learning, presentation by...
 
Building Trust and Explainability into Chatbots: the Partena Ziekenfonds Busi...
Building Trust and Explainability into Chatbots: the Partena Ziekenfonds Busi...Building Trust and Explainability into Chatbots: the Partena Ziekenfonds Busi...
Building Trust and Explainability into Chatbots: the Partena Ziekenfonds Busi...
 
AI & Ethics: The Belgian Industry Vision & Initiatives, presentation by Jelle...
AI & Ethics: The Belgian Industry Vision & Initiatives, presentation by Jelle...AI & Ethics: The Belgian Industry Vision & Initiatives, presentation by Jelle...
AI & Ethics: The Belgian Industry Vision & Initiatives, presentation by Jelle...
 
Responsible AI: An Example AI Development Process with Focus on Risks and Con...
Responsible AI: An Example AI Development Process with Focus on Risks and Con...Responsible AI: An Example AI Development Process with Focus on Risks and Con...
Responsible AI: An Example AI Development Process with Focus on Risks and Con...
 
Fairness and Transparency: Algorithmic Explainability, some Legal and Ethical...
Fairness and Transparency: Algorithmic Explainability, some Legal and Ethical...Fairness and Transparency: Algorithmic Explainability, some Legal and Ethical...
Fairness and Transparency: Algorithmic Explainability, some Legal and Ethical...
 
How obedient digital twins and intelligent beings contribute to ethics and ex...
How obedient digital twins and intelligent beings contribute to ethics and ex...How obedient digital twins and intelligent beings contribute to ethics and ex...
How obedient digital twins and intelligent beings contribute to ethics and ex...
 
He Said, She Said: Finding and Fixing Bias in NLP (Natural Language Processin...
He Said, She Said: Finding and Fixing Bias in NLP (Natural Language Processin...He Said, She Said: Finding and Fixing Bias in NLP (Natural Language Processin...
He Said, She Said: Finding and Fixing Bias in NLP (Natural Language Processin...
 
Introduction to Bias in Machine Learning, presented by Matthias Feys, CTO @ M...
Introduction to Bias in Machine Learning, presented by Matthias Feys, CTO @ M...Introduction to Bias in Machine Learning, presented by Matthias Feys, CTO @ M...
Introduction to Bias in Machine Learning, presented by Matthias Feys, CTO @ M...
 
Business Case: Ozitem Groupe, where 80% of the company is working remotely. R...
Business Case: Ozitem Groupe, where 80% of the company is working remotely. R...Business Case: Ozitem Groupe, where 80% of the company is working remotely. R...
Business Case: Ozitem Groupe, where 80% of the company is working remotely. R...
 
Digital Workplace Case Study: How the Municipality of Duffel successfully swi...
Digital Workplace Case Study: How the Municipality of Duffel successfully swi...Digital Workplace Case Study: How the Municipality of Duffel successfully swi...
Digital Workplace Case Study: How the Municipality of Duffel successfully swi...
 
Unleashing the Full Potential of People, Teams and SOLVAY, presented by Bruce...
Unleashing the Full Potential of People, Teams and SOLVAY, presented by Bruce...Unleashing the Full Potential of People, Teams and SOLVAY, presented by Bruce...
Unleashing the Full Potential of People, Teams and SOLVAY, presented by Bruce...
 
The Building Blocks of a Digital Workplace, presented by Sam Marshall at the ...
The Building Blocks of a Digital Workplace, presented by Sam Marshall at the ...The Building Blocks of a Digital Workplace, presented by Sam Marshall at the ...
The Building Blocks of a Digital Workplace, presented by Sam Marshall at the ...
 
Engie's Digital Workplace and "Connecting the company" business case, present...
Engie's Digital Workplace and "Connecting the company" business case, present...Engie's Digital Workplace and "Connecting the company" business case, present...
Engie's Digital Workplace and "Connecting the company" business case, present...
 
Face your communication challenges when implementing a digital workplace, bas...
Face your communication challenges when implementing a digital workplace, bas...Face your communication challenges when implementing a digital workplace, bas...
Face your communication challenges when implementing a digital workplace, bas...
 
The first steps in Recticel's Digital Workplace program by Kenneth Meuleman (...
The first steps in Recticel's Digital Workplace program by Kenneth Meuleman (...The first steps in Recticel's Digital Workplace program by Kenneth Meuleman (...
The first steps in Recticel's Digital Workplace program by Kenneth Meuleman (...
 
Presentation by Dave Geentjens at the "Successful Digital Workplace Adoption"...
Presentation by Dave Geentjens at the "Successful Digital Workplace Adoption"...Presentation by Dave Geentjens at the "Successful Digital Workplace Adoption"...
Presentation by Dave Geentjens at the "Successful Digital Workplace Adoption"...
 
Presentation by Ivan Schotsmans (DV Community) at the Data Vault Modelling an...
Presentation by Ivan Schotsmans (DV Community) at the Data Vault Modelling an...Presentation by Ivan Schotsmans (DV Community) at the Data Vault Modelling an...
Presentation by Ivan Schotsmans (DV Community) at the Data Vault Modelling an...
 
Presentation by Luc Delanglez (DataLumen) at the Data Vault Modelling and Dat...
Presentation by Luc Delanglez (DataLumen) at the Data Vault Modelling and Dat...Presentation by Luc Delanglez (DataLumen) at the Data Vault Modelling and Dat...
Presentation by Luc Delanglez (DataLumen) at the Data Vault Modelling and Dat...
 
Presentation by Erik van der Hoeven (Wisdom as a Service) at the Data Vault M...
Presentation by Erik van der Hoeven (Wisdom as a Service) at the Data Vault M...Presentation by Erik van der Hoeven (Wisdom as a Service) at the Data Vault M...
Presentation by Erik van der Hoeven (Wisdom as a Service) at the Data Vault M...
 

Dernier

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 

Dernier (20)

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 

Improving Passenger Experience at Brussels Airport through (real-time) Analytics on a 24/7 Cloud Architecture

  • 1. Improve passenger experience at Brussels Airport through (real-time) analytics on a 24/7 cloud architecture
  • 2. My career path: good move? ICT/Data is core State-of-the-art IT Loads of customer data Construction is core ICT ran by CFO -> ICT == cost No pax data 2 Why?
  • 3. Opportunity to become the best airport in Europe, starting from a greenfield approach in data & analytics 3 Data
  • 4. Make Brussels Airport the SMARTEST airport COMMUNITY 4 Through (automated) data driven decision making across all levels
  • 5. Based on 4 strategic pillars, going far beyond the classical BI 5 Management Customers Operational Partners BusinessInsights Data-drivenprocessesDataasanAsset Personalization
  • 6. A completely new (real-time) analytics architecture on AWS Cloud is defined 6 TM1
  • 7. Business Focus Technical Focus The DnA organisation evolved from 10 Pentaho/MicroStrategy FTE into a team of 40+ business and technically broadly skilled resources CXO Analytics Mgr Commercial & Supporting Analytics Mgr Cargo, ABD & Operations Analytics Mgr Digital Agile Delivery Manager Data Architecture & Governance API & Integration Services Head of Data & Analytics Data Analyst/ Engineer Information Architect Data Governance Manager DevOps Engineer Product Manager API Architect Technical Product Manager Analyst/Engineer Tester DevOps Engineer Business Analyst Business Analyst Business Analyst Vacancy Vacancy Vacancy Vacancy VacancyVacancyVacancy
  • 8. The DnA team works according to a 3-speed delivery model 8 WHY? • Retain Business Value creation • Maintainability of the Run WHAT? • Projects • Industrialize Prototypes/POC’s HOW? • Project & Portfolio Mgt • ~ 65% capacity LONG HAUL team(s) WHY? • Quick service to business • Safeguard predictability in SH/LH WHAT? • Issue resolution • Urgent ad-hoc requests HOW? • 24h turnaround time • ~ 15% of capacity EXPRESS Squad WHY? • Create Business Value • Learn and Fail, then Industrialize WHAT? • Prototypes and POC’s • Quick Business Value • Complex analytics HOW? • Business value in 2-3 weeks • ~ 20% of capacity SHORT HAUL Squad
  • 9. Currently 3 Long Haul squads in place, supported by the DnA Architecture & Governance squad 9 WHY? • Retain Business Value creation • Maintainability of the Run WHAT? • Projects • Industrialize Prototypes/POC’s HOW? • Project & Portfolio Mgt • ~ 65% capacity LONG HAUL team(s) Commercial & Support Area Sales Procurement Finance Digital HR 360° pax view Marketing Rackham Squad Airport Operations Plan Trident Squad Operational Area AeroSmurf Squad Data Architecture and Governance • Data Platform Setup • Data Quality • Data Security • … Magritte Squad Priorities of capability building driven by Business Needs
  • 10. Let’s have a look at how we drive operational decision-making through analytics 10 Management Customers Partners BusinessInsights Data-drivenprocessesDataasanAsset Personalization Operational
  • 11. The Airport Operations Plan (AOP) 11 Optimize efficiency and improve E2E passenger experience? Based on the flight schedule and pax arrival patterns, forecast the required resources Execute the plan and pro-actively take actions on planning changes Evaluate the forecast and actions taken Define and implement improvements Resources to plan: @Check-in @Security @Border Control @Baggage handling @Cleaning (toilets) …
  • 12. Example: pro-actively avoid missed connections
  • 13. Waiting times are predicted in real-time to identify connections at risk Predicted waiting time at security @20:11 Predicted waiting time at border control @20:19 Actions: - Get first from plane - Give walking directions
  • 14. Actions can be taken to avoid lost connections 14 11 Actions: - Get first from plane - Give walking directions - Give fast lane access - Ask airline to delay flight
  • 15. We will also improve the experience of pax with lost connections 15 Actions: - Inform pax when debording - Ask airline to rebook flight
  • 16. We are the first airport in the world to predict Waiting Times - BLIP sensors (BLIFI) - Metal detectors - Boarding pass scans FROM Waiting Time = WT of person that left the queue TO Waiting Time = WT of person that entered the queue & Predicted WT = Expected WT within 30’, 60’, 2h, 4h
  • 17. Conclusions • Based on the ambition to become the best Airport in Europe, Brussels Airport decided to strongly invest in data & analytics as a crucial enabler to reach this ambition • A 24/7 state-of-the-art data platform is being implemented on AWS cloud for reasons of flexibility, time-2-market and scalability • The DnA strategy is going far beyond the classical BI for management and drives personalization and data-driven decision making in operational processes 17
  • 18. 18 Thank you for being my passenger today!