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B I G D E C I S I O N S : N O T
B I G D ATA
QANTAS LOYALTY
OUR PERSPECTIVE
OUR STORY1
2
1987 2008 2009 2010 2011 2012
Qantas Cash
Everyday Reward Platinum One
3
THE EVOLUTION OF QANTAS FREQUENT FLYER
201320072004
60%
INCREASE
IN MEMBERSHIP
4
QANTAS FREQUENT FLYER PERFORMANCE
5.4M2008
8.6M2012
80%INCREASE
IN PROFIT
5
QANTAS FREQUENT FLYER PERFORMANCE
128M2008
231M2012
LOYALTY PROGRAMS
EMPLOYEE & INCENTIVE REWARD PROGRAMS
RETAIL & CORPORATE GIFT CARD SERVICES
INSIGHTS & ANALYTICS
STRATEGY
MOVING FORWARD
6
7
CONSUMER
FACING
Insights & Analytics Loyalty Programs
BUSINESS
FACING
QANTAS LOYALTY BRAND STRUCTURE
8
CUSTOMER INSIGHTS
AND ANALYTICSC U STO MER
ST R AT EG Y
D ATA D R IVEN
MAR KET IN G
C U STO MER
IN T ER AC T IO N
MAN AG EMEN T
WE ARE NOW PROVIDING THIS CAPABILITY AS
A SERVICE TO OTHER ORGANISATIONS
R ESU LT S AN D
BU SIN ESS
R EPO RT IN G
QANTAS LOYALTY
OUR STORY1
OUR PERSPECTIVE2
Business models
evolving
10
SOURCES OF COMPETITIVE ADVANTAGE ARE CHANGING
Barriers
to entry decreasing
Industry convergence
NEW ENTRANTS ACCESS
LOWER COST AND
MORE AGILITY
Scale has historically
been a key advantage
Implications for INCUMBENTS
Now becoming one of its
biggest weaknesses
11
HOW DOES AN INCUMBENT COMPETE
Customer
interactions
Brand
Customer
knowledge
KEY PRINCIPLES FOR USING BIG DATA
12
MUST BE YOUR PERVASIVE
MANAGEMENT APPROACH
333 444
555
222
111
ORGANISATIONAL
BEHAVIOUR
AND STRUCTURE
EXTRACTING
THE VALUE
DATAENRICHMENT
OPERATIONALISE
& EXECUTION
13
IT IS NOT JUST ABOUT THE DATA & INFRASTRUCTURE
WHERE THE
INSIGHTS
COULD BE USED
CREATION
OF INSIGHTS
DELIVERY
OF INSIGHTS
Sales and
marketing
Strategy
formulation
Product
design
Capital allocation
Planning and
forecasting
Pricing
and yield
management
Loyalty Customer
service
MeasurementPrediction
Test & learn
Insights requests
Management
Insights “automation”
Customer interactions
THE
CUSTOMERS
THE CONSUMER
KEY PRINCIPLES FOR USING BIG DATA
14
MUST BE YOUR PERVASIVE
MANAGEMENT APPROACH
333 444
555
111
EXTRACTING
THE VALUE
DATAENRICHMENT
OPERATIONALISE
& EXECUTION
222
ORGANISATIONAL
BEHAVIOUR
AND STRUCTURE
IT’S NOT ABOUT DATA
IT’S ABOUT CREATING CHANGE
DATA WON’T CREATE CHANGE
Customer analytics should create change across all
departments in the organisation
15
Ensure the organisation can keep up with the rate of
change – and wants to
16
QANTAS LOYALTY ORGANISATIONAL STRUCTURE
Marketing LegalCFOTechnology CommercialHR
Analytics
CEO
Marketing LegalCFOTechnology CommercialHR Insights &
Innovation
KEY PRINCIPLES FOR USING BIG DATA
17
MUST BE YOUR PERVASIVE
MANAGEMENT APPROACH
444
555
111
DATAENRICHMENT
OPERATIONALISE
& EXECUTION
222
ORGANISATIONAL
BEHAVIOUR
AND STRUCTURE
333
EXTRACTING
THE VALUE
COMMERCIAL INVOLVEMENT IN DECISION MAKING
Decision complexity level
Low High
Management
Decision
owner
Common
perception
Best practice
approach
18
System
ARTICULATE RESULTS
IN A WAY THE BUSINESS
CAN UNDERSTAND
EXTRACTING
19
THE VALUE
HAVE HIGHLY SKILLED
COMMERCIAL LEADERSHIP
DRIVE ANALYTICS
KEY PRINCIPLES FOR USING BIG DATA
20
MUST BE YOUR PERVASIVE
MANAGEMENT APPROACH
555
111
OPERATIONALISE
& EXECUTION
222
ORGANISATIONAL
BEHAVIOUR
AND STRUCTURE
333
EXTRACTING
THE VALUE
444
DATAENRICHMENT
Dan
38
Bronze
1 int. flight with Qantas last year
No other icon usage
John
38
Bronze
1 int. flight with Qantas last year
No other icon usage
21
KNOWLEDGE OF THE INDIVIDUAL CUSTOMER IS CRITICAL
38
Bronze
1 int. flight with Qantas last year
No other icon usage
38
Bronze
1 int. flight with Qantas last year
No other icon usage
22
KNOWLEDGE OF THE INDIVIDUAL CUSTOMER IS CRITICAL
John
4 kids
Ideal reward is voucher
Interested in family friendly activities
Took his only flight with us
Stay at home Dad
QFF promoter
Optus user
Dan
Ideal reward is upgrade
Single
Loves food & wine
Platinum with other FFP
Owns his own company
QFF detractor
Frequent user of hotels & hire cars
Qantas Frequent Flyer Predicting Flight Behaviour
Fitted
Observed
Customer ranking model percentile
Actual
probability of
flying with
Qantas
ENHANCED DATA WILL GENERATE FAR SUPERIOR RESULTS
0 10 20 30 40 50 60 70 80 90 100
23
KEY PRINCIPLES FOR USING BIG DATA
24
MUST BE YOUR PERVASIVE
MANAGEMENT APPROACH111
222
ORGANISATIONAL
BEHAVIOUR
AND STRUCTURE
333
EXTRACTING
THE VALUE
444
DATAENRICHMENT
555 OPERATIONALISE
& EXECUTION
Event
Achieved Platinum status
123456
25
OPERATIONALISE & EXECUTION
26
IT’S NOT JUST ABOUT
THE DATA & INFRASTRUCTURE
It requires business
transformation
It is an
ongoing journey
Requires big
decisions

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Comment les Big Data ont transformé Qantas Airlines - Keynote de Vaughan Chandler à Connect 2013

  • 1. B I G D E C I S I O N S : N O T B I G D ATA
  • 3. 1987 2008 2009 2010 2011 2012 Qantas Cash Everyday Reward Platinum One 3 THE EVOLUTION OF QANTAS FREQUENT FLYER 201320072004
  • 4. 60% INCREASE IN MEMBERSHIP 4 QANTAS FREQUENT FLYER PERFORMANCE 5.4M2008 8.6M2012
  • 5. 80%INCREASE IN PROFIT 5 QANTAS FREQUENT FLYER PERFORMANCE 128M2008 231M2012
  • 6. LOYALTY PROGRAMS EMPLOYEE & INCENTIVE REWARD PROGRAMS RETAIL & CORPORATE GIFT CARD SERVICES INSIGHTS & ANALYTICS STRATEGY MOVING FORWARD 6
  • 7. 7 CONSUMER FACING Insights & Analytics Loyalty Programs BUSINESS FACING QANTAS LOYALTY BRAND STRUCTURE
  • 8. 8 CUSTOMER INSIGHTS AND ANALYTICSC U STO MER ST R AT EG Y D ATA D R IVEN MAR KET IN G C U STO MER IN T ER AC T IO N MAN AG EMEN T WE ARE NOW PROVIDING THIS CAPABILITY AS A SERVICE TO OTHER ORGANISATIONS R ESU LT S AN D BU SIN ESS R EPO RT IN G
  • 10. Business models evolving 10 SOURCES OF COMPETITIVE ADVANTAGE ARE CHANGING Barriers to entry decreasing Industry convergence NEW ENTRANTS ACCESS LOWER COST AND MORE AGILITY Scale has historically been a key advantage Implications for INCUMBENTS Now becoming one of its biggest weaknesses
  • 11. 11 HOW DOES AN INCUMBENT COMPETE Customer interactions Brand Customer knowledge
  • 12. KEY PRINCIPLES FOR USING BIG DATA 12 MUST BE YOUR PERVASIVE MANAGEMENT APPROACH 333 444 555 222 111 ORGANISATIONAL BEHAVIOUR AND STRUCTURE EXTRACTING THE VALUE DATAENRICHMENT OPERATIONALISE & EXECUTION
  • 13. 13 IT IS NOT JUST ABOUT THE DATA & INFRASTRUCTURE WHERE THE INSIGHTS COULD BE USED CREATION OF INSIGHTS DELIVERY OF INSIGHTS Sales and marketing Strategy formulation Product design Capital allocation Planning and forecasting Pricing and yield management Loyalty Customer service MeasurementPrediction Test & learn Insights requests Management Insights “automation” Customer interactions THE CUSTOMERS THE CONSUMER
  • 14. KEY PRINCIPLES FOR USING BIG DATA 14 MUST BE YOUR PERVASIVE MANAGEMENT APPROACH 333 444 555 111 EXTRACTING THE VALUE DATAENRICHMENT OPERATIONALISE & EXECUTION 222 ORGANISATIONAL BEHAVIOUR AND STRUCTURE
  • 15. IT’S NOT ABOUT DATA IT’S ABOUT CREATING CHANGE DATA WON’T CREATE CHANGE Customer analytics should create change across all departments in the organisation 15 Ensure the organisation can keep up with the rate of change – and wants to
  • 16. 16 QANTAS LOYALTY ORGANISATIONAL STRUCTURE Marketing LegalCFOTechnology CommercialHR Analytics CEO Marketing LegalCFOTechnology CommercialHR Insights & Innovation
  • 17. KEY PRINCIPLES FOR USING BIG DATA 17 MUST BE YOUR PERVASIVE MANAGEMENT APPROACH 444 555 111 DATAENRICHMENT OPERATIONALISE & EXECUTION 222 ORGANISATIONAL BEHAVIOUR AND STRUCTURE 333 EXTRACTING THE VALUE
  • 18. COMMERCIAL INVOLVEMENT IN DECISION MAKING Decision complexity level Low High Management Decision owner Common perception Best practice approach 18 System
  • 19. ARTICULATE RESULTS IN A WAY THE BUSINESS CAN UNDERSTAND EXTRACTING 19 THE VALUE HAVE HIGHLY SKILLED COMMERCIAL LEADERSHIP DRIVE ANALYTICS
  • 20. KEY PRINCIPLES FOR USING BIG DATA 20 MUST BE YOUR PERVASIVE MANAGEMENT APPROACH 555 111 OPERATIONALISE & EXECUTION 222 ORGANISATIONAL BEHAVIOUR AND STRUCTURE 333 EXTRACTING THE VALUE 444 DATAENRICHMENT
  • 21. Dan 38 Bronze 1 int. flight with Qantas last year No other icon usage John 38 Bronze 1 int. flight with Qantas last year No other icon usage 21 KNOWLEDGE OF THE INDIVIDUAL CUSTOMER IS CRITICAL
  • 22. 38 Bronze 1 int. flight with Qantas last year No other icon usage 38 Bronze 1 int. flight with Qantas last year No other icon usage 22 KNOWLEDGE OF THE INDIVIDUAL CUSTOMER IS CRITICAL John 4 kids Ideal reward is voucher Interested in family friendly activities Took his only flight with us Stay at home Dad QFF promoter Optus user Dan Ideal reward is upgrade Single Loves food & wine Platinum with other FFP Owns his own company QFF detractor Frequent user of hotels & hire cars
  • 23. Qantas Frequent Flyer Predicting Flight Behaviour Fitted Observed Customer ranking model percentile Actual probability of flying with Qantas ENHANCED DATA WILL GENERATE FAR SUPERIOR RESULTS 0 10 20 30 40 50 60 70 80 90 100 23
  • 24. KEY PRINCIPLES FOR USING BIG DATA 24 MUST BE YOUR PERVASIVE MANAGEMENT APPROACH111 222 ORGANISATIONAL BEHAVIOUR AND STRUCTURE 333 EXTRACTING THE VALUE 444 DATAENRICHMENT 555 OPERATIONALISE & EXECUTION
  • 26. 26 IT’S NOT JUST ABOUT THE DATA & INFRASTRUCTURE It requires business transformation It is an ongoing journey Requires big decisions