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C O O N E C T E D E C O N O M YR E I M A G I N I N G I N C U M B E N T S
D I G I T A L T R A N S F O R M A T I O N
Transforming Incumbents
Case: Sports
Moneyball: The Art of Winning an
Unfair Game (2003)
Baseball has figured out how to integrate "soft" data
with "hard“
Baseball has always been blessed with lots of hard,
statistical performance data.
Leading organizations are doing now is incorporating
the soft metrics—metrics like resilience, perseverance,
heart and chemistry
3,2B Worldwide audience of the 2014 World Cup
1B Fans watched the 2014 final
98087h Total Broadcast footage of the tournament
280M World Cup fans watched online or on mobile
D I G I T A L T R A N S F O R M A T I O N
2014 FIFA World Cup in Data
2018 World Cup: “the largest production in our 24-year history” David Neal - Fox Sports VP
D I G I T A L T R A N S F O R M A T I O N
Brazil v. Germany Semi-Final
Twitter’s most-engaged single athletic competition ever.
D I G I T A L T R A N S F O R M A T I O N
German Engineering
Football reimagined. The Deutscher Fußball-Bund and SAP
H T T P S : / / W W W . S A P . C O M / P O R T U G A L / P R O D U C T S / S P O R T S - O N E . H T M L # V I D E O = E 0 7 E 4 A A 5 - C A 7 C - 0 0 1 0 - 8 2 C 7 - E D A 7 1 A F 5 1 1 F A
SAP Match Insights
The system is based around a series of key performance indicators
(KPIs): how to make the German game faster and get in front of the
goal more quickly.
Average ball possession became a critical factor with the need to
look at receiving the ball, control, passing and pass completion.
“Every training session was around that KPI - to make the game
faster,” Jungkind said.
3,4s
Average ball possession of
DE team World Cup 2010
1,1s
Average ball possession of DE vs
BZ in 2014 (7-1 Victory!)
4goals Goals suffered by DE team
18goals Goals scored by DE team
D I G I T A L T R A N S F O R M A T I O N
German Engineering
Visual recognition, Video and Data Points
SAP Match Insights
The system was fed by a system of eight high-definition video cameras giving a
panoramic view of the pitch and using data capture and analysis software fromAmisco.
Visual recognition algorithms were needed to identify players as FIFAforbids use of
physical tags that might otherwise be used to capture and transmit data.
Looks like an Xbox or PlayStation game and lets coaches draw lines on screen between
players to see the distance between defenders and draw concentric circles around
players to see in actual quantifiable units the space between players
5000 Data points per second
D I G I T A L T R A N S F O R M A T I O N
Sports Data
Case: Sports
Opta
The data company that has been
analysing football matches since
2001, recording all the
information that for years has
appeared in the small statistical
summaries that round up each
match on TV and in the papers.
H T T P S : / / V I M E O . C O M / 2 2 8 9 7 3 7 8 4
D I G I T A L T R A N S F O R M A T I O N
Expected Goals
Expected Goals: xG
H T T P S : / / C A R T I L A G E F R E E C A P T A I N . S B N A T I O N . C O M / 2 0 1 7 / 8 / 1 7 / 1 6 1 6 4 0 6 8 / E X P L A I N I N G - E X P E C T E D - G O A L S - S O C C E R S - N E W E S T - S T A R
x2
Lowers xG
Raises xG
C R O S S E S
T H R O U G H B A L L S
S Q U A R E B A L L S
I N S I D E 1 8 - Y A R D B O X
C O M P L E T E D D R I B B L E S
C O U N T E R A T T A C K S
C O R N E R K I C K S
B I G C H A N C E S *
*Big chances= Player should reasonably be expected to score usually in a one-on-one scenario or from very close range Opta)
3%
≥30%
D I G I T A L T R A N S F O R M A T I O N
Predictive statistics: Gets better with more data
Expected Goals: xG
S o u r c e : S c i s p o r t s
D I G I T A L T R A N S F O R M A T I O N
Predictive statistics: Gets better with more data
Expected Goals: xG
S o u r c e : S c i s p o r t s
D I G I T A L T R A N S F O R M A T I O N
Predictive statistics: Gets better with more data
Expected Goals: xG
PORTUGAL WINNING THE EUROPEAN CHAMPIONSHIP:
WON ONLY 1 OUT OF 7 MATCHES WITHIN 90 MINUTES
THEIR DEFENDING WAS VERY STRUCTURED AND
SOLID
PORTUGAL WERE THE ONLY TEAM CONCEDING LESS
THAN 1 XG PER MATCH (EVEN AGAINST HUNGARY)
AND AVERAGED A MEAN XG AGAINST OF ONLY 0.56
PER MATCH.
COMBINING THIS WITH A LETHAL COUNTER ATTACK
RESULTED IN PORTUGAL WINNING THE EURO2016!
S o u r c e : S c i s p o r t s
D I G I T A L T R A N S F O R M A T I O N
“From watching a football match to seeing a football match” – 11Tegen11
Expected Goals: xG
S o u r c e : 1 1 T e g e n 1 1
H T T P S : / / T W I T T E R . C O M / I / S T A T U S / 1 0 1 1 3 4 9 0 9 0 7 3 3 5 6 8 0 0 2
C OMPOSITE IMAGES TH AT SH OW XG FOR BOTH SID ES IN AN Y GIVEN GAME, EAC H
EFFOR T ON GOAL MAPPED ON TO TH E PITC H ( TH E B IGGER TH E B LOB , TH E
B ETTER TH E C H A N C E )
EQU ALLY FASC IN ATIN G PA SS MA PS TH AT MAP AGGR EGATE POSITION S OF
PLAYER S ON TH E PITC H AN D TH E PASSIN G LIN KS W ITH TH EIR TEAM - MATES
D I G I T A L T R A N S F O R M A T I O N
Nerd Fans
Case: Sports
We will start watching (or seeing) games differently, partly as a result
of a changing audience.
Posting xG on Match of the Day will be a talking point, it will give them
something to argue about and get a rise out of fans.
The data will show you what happens over the course of a million shots
and experts can tell you why.
It will also bring a new kind of fan to the game, absolutely. This kind of
data overlaps with people who play Football Manager or fantasy
league. It’s exactly the same thing, you take information about players
and you evaluate them. If you want to be better in fantasy league then
you need data.
D I G I T A L T R A N S F O R M A T I O N
Field of Dreams: Data, Apps, AR
Case: Sports
SAP SPORTS ONE
THE PLATFORM IS THE EVOLUTION OF SAP MATCH INSIGHT,
USED BY THE GERMAN NATIONAL SOCCER TEAM DURING
BRAZIL 2014.
MAIN FEATURES :
TRAINING PLANNING
FITNESS
PERFORMANCE CONTROL
SCOUTING PROCESS OPTIMIZATION
D I G I T A L T R A N S F O R M A T I O N
Sensors for real-time data gathering
Case: Sports
This system allows users to gather players’ data
(like accelerations and ground covered), but also to
calculate correlations between other values like
team performances, average distance between
players, and movement directions.
HTTPS://WWW.YOUTUBE.COM/WATCH?TIME_CONTINUE=27&V=YSBIKA1USWK
WHEARE IS AN ITALIAN REAL-TIME ANALYSIS PLATFORM, DEVELOPED BY SPACEEXE.
The data is gathered by a GPS antenna, an accelerometer and a GNSS receiver placed in the shin guard, then sent over to a
pc or tablet for a real-time preview, and to a remote server for a more in-depth subsequent analysis.
D I G I T A L T R A N S F O R M A T I O N
Drones to check the grass
Case: Sports
WESII: DRONES FOR PITCH ANALYSIS
WESII’S IDEA WAS TO ANALYSE THE
SOCCER PITCH FROM A DRONE VIA MULTI-
SPECTRUM SENSORS, PROVIDING
INFORMATION ABOUT THE PITCH CONDITIONS
NOT VISIBLE TO THE NAKED EYE, LIKE
SLIPPERINESS. IT IS A KIND OF ANALYSIS
ALREADY ADOPTED IN OTHER FIELDS, LIKE
PRECISION AGRICULTURE, BUT STILL A
NOVELTY FOR SPORT.
D I G I T A L T R A N S F O R M A T I O N
AI for Video Analysis
Case: Sports
STATSEDGE PRO:
ARTIFICIAL INTELLIGENCE FOR VIDEO ANALYSIS
STATSEDGE IS AN INNOVATIVE PRODUCT IN
THIS FIELD: IT ALLOWS IN-DEPTH VIEWS OF
MATCHES (LIKE EXPECTED GOALS, SHOTS,
ACTION AREAS, FOULS), AND ANALYSIS OF THE
OPPONENT’S WEAKNESSES AND STRENGTHS,
PERFORMING ACCURATE TRANSITION
ANALYSIS.
D I G I T A L T R A N S F O R M A T I O N
Search for Similarity in Plays
Case: Sports
STATSEDGE
HOWEVER, THE TRULY INNOVATIVE FEATURE OF THIS PRODUCT IS THE POSSIBILIT Y TO SEARCH CLIPS FOR
SIMILARITY USING TRACKING DATA, THANKS TO SOPHISTICATED AI ALGOR ITHMS.
H T T P S : / / W W W . S T A T S . C O M / E D G E /
D I G I T A L T R A N S F O R M A T I O N
Nodes and Lines: Graphic representation of a match
Soccer is a flow sport
SOCCER IS A FLOW SPORT
PRODUCES A NETWORK VISUAL FOR EACH TEAM, COMPRISED
OF NODES — ONE CIRCLE FOR EACH PLAYER — AND LINES
CONNECTING THOSE PLAYERS. THE NODES AND LINES VARY IN
SIZE — LARGER CIRCLES INDICATE MORE INFLUENTIAL
PLAYERS, AND WIDER LINES REFLECT STRONGER CONNECTIONS
BETWEEN PLAYERS.
FLOW SPORTS, ARE MORE COMPLEX.
THINGS ARE ALWAYS IN MOTION. PLAYERS MOVE ALL OVER.
THERE ARE NO BREAKS IN PLAY WHEN THE CLOCK IS
RUNNING
D I G I T A L T R A N S F O R M A T I O N
Comment on CR7: “Possibly not a human” – Paddy Cosgrave
Average Footballer Rating (AFR)
“AVERAGE FOOTBALLER RATING” (AFR) FOR EACH PLAYER,
BASED ON HOW INFLUENTIAL THEY ARE IN SOCCER MATCHES .
THE AFR VALUES OF ALL PLAYERS ON A GIVEN TEAM INDICATE
THAT TEAM’S STRENGTH — ITS SUCCESS AT MAKING PASSES
THAT RESULT IN GOALS
A PLAYER WITH AN AFR GREATER THAN 70 IS PRETTY MUCH
SUPERHUMAN,” AMARAL SAYS. “AND AN AFR ABOVE 70 OVER
MANY SEASONS IS GOD-LIKE.”
LUÍS A. NUNES AMARAL
C o - D i r e c t o r , N o r t h we s t e r n I n s t i t u t e o n
C o m p l e x S y s t e m s
P r o f e s s o r o f C h e m i c a l & B i o l o g i c a l
E n g i n e e r i n g
P r o f e s s o r o f P h y s i c s & A s t r o n o m y
P r o f e s s o r o f M e d i c i n e
D I G I T A L T R A N S F O R M A T I O N
Amaral Lab World Cup 2018
Average Footballer Rating (AFR)
“WHEN YOU ARE ESTIMATING THE WINNER OF A WORLD CUP,
LUCK AND CHANCE PLAY A HUGE ROLE,” MUCH MORE THAN IN
THE LARGER SAMPLE SIZE OF A LONG SEASON.
WHAT AMARAL’S SYSTEM CAN DO IS DETERMINE
PROBABILITIES.
“OUR ALGORITHM TELLS US WHAT THE LIKELIHOOD OF
OUTCOMES ARE,” AMARAL SAYS. “IT’S THE DIFFERENCE, FOR
INSTANCE, BETWEEN ASKING WHAT’S THE LIKELIHOOD THAT
CERTAIN TEAMS ARE GOING TO MAKE THE PLAYOFFS, VERSUS
WINNING THE SUPER BOWL.”
THE BEST PLAYERS IN
THE WORLD AS OF MAY
2018
D I G I T A L T R A N S F O R M A T I O N
2018 World Cup Dream Team.
Average Footballer Rating (AFR)
WHO’S YOURS?
C O N C L U S I O N S
1. THE WORLD HAS CHANGED AND NEW BUSINESS
MODELS ARE CHALLENGING INCUMBENTS.
2. WE ARE IN THE MIDST OF THE 4TH INDUSTRIAL
REVOLUTION.
3. THE RULES OF ENGAGEMENT HAVE CHANGED.
4. THE POWER OF ONE.
5. THE RISE OF PROSUMERS.
6. THE ECONOMY OF FLOWS
7. THE POTENTIAL TO CREATE VALUE STEMS FROM
CONNECTIONS AND THE POWER OF THE NETWORK.
8. SOCIAL, MOBILE, REAL TIME
9. PLATFORMS ARE THE BASIS OF VALUE
10.EVERYTHING IS DIGITAL! EVEN FOOTBALL!
Conclusions

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Football, Data and Crushing Competition

  • 1. “ ” C O O N E C T E D E C O N O M YR E I M A G I N I N G I N C U M B E N T S
  • 2. D I G I T A L T R A N S F O R M A T I O N Transforming Incumbents Case: Sports Moneyball: The Art of Winning an Unfair Game (2003) Baseball has figured out how to integrate "soft" data with "hard“ Baseball has always been blessed with lots of hard, statistical performance data. Leading organizations are doing now is incorporating the soft metrics—metrics like resilience, perseverance, heart and chemistry
  • 3. 3,2B Worldwide audience of the 2014 World Cup 1B Fans watched the 2014 final 98087h Total Broadcast footage of the tournament 280M World Cup fans watched online or on mobile D I G I T A L T R A N S F O R M A T I O N 2014 FIFA World Cup in Data 2018 World Cup: “the largest production in our 24-year history” David Neal - Fox Sports VP
  • 4. D I G I T A L T R A N S F O R M A T I O N Brazil v. Germany Semi-Final Twitter’s most-engaged single athletic competition ever.
  • 5. D I G I T A L T R A N S F O R M A T I O N German Engineering Football reimagined. The Deutscher Fußball-Bund and SAP H T T P S : / / W W W . S A P . C O M / P O R T U G A L / P R O D U C T S / S P O R T S - O N E . H T M L # V I D E O = E 0 7 E 4 A A 5 - C A 7 C - 0 0 1 0 - 8 2 C 7 - E D A 7 1 A F 5 1 1 F A SAP Match Insights The system is based around a series of key performance indicators (KPIs): how to make the German game faster and get in front of the goal more quickly. Average ball possession became a critical factor with the need to look at receiving the ball, control, passing and pass completion. “Every training session was around that KPI - to make the game faster,” Jungkind said. 3,4s Average ball possession of DE team World Cup 2010 1,1s Average ball possession of DE vs BZ in 2014 (7-1 Victory!) 4goals Goals suffered by DE team 18goals Goals scored by DE team
  • 6. D I G I T A L T R A N S F O R M A T I O N German Engineering Visual recognition, Video and Data Points SAP Match Insights The system was fed by a system of eight high-definition video cameras giving a panoramic view of the pitch and using data capture and analysis software fromAmisco. Visual recognition algorithms were needed to identify players as FIFAforbids use of physical tags that might otherwise be used to capture and transmit data. Looks like an Xbox or PlayStation game and lets coaches draw lines on screen between players to see the distance between defenders and draw concentric circles around players to see in actual quantifiable units the space between players 5000 Data points per second
  • 7. D I G I T A L T R A N S F O R M A T I O N Sports Data Case: Sports Opta The data company that has been analysing football matches since 2001, recording all the information that for years has appeared in the small statistical summaries that round up each match on TV and in the papers. H T T P S : / / V I M E O . C O M / 2 2 8 9 7 3 7 8 4
  • 8. D I G I T A L T R A N S F O R M A T I O N Expected Goals Expected Goals: xG H T T P S : / / C A R T I L A G E F R E E C A P T A I N . S B N A T I O N . C O M / 2 0 1 7 / 8 / 1 7 / 1 6 1 6 4 0 6 8 / E X P L A I N I N G - E X P E C T E D - G O A L S - S O C C E R S - N E W E S T - S T A R x2 Lowers xG Raises xG C R O S S E S T H R O U G H B A L L S S Q U A R E B A L L S I N S I D E 1 8 - Y A R D B O X C O M P L E T E D D R I B B L E S C O U N T E R A T T A C K S C O R N E R K I C K S B I G C H A N C E S * *Big chances= Player should reasonably be expected to score usually in a one-on-one scenario or from very close range Opta) 3% ≥30%
  • 9. D I G I T A L T R A N S F O R M A T I O N Predictive statistics: Gets better with more data Expected Goals: xG S o u r c e : S c i s p o r t s
  • 10. D I G I T A L T R A N S F O R M A T I O N Predictive statistics: Gets better with more data Expected Goals: xG S o u r c e : S c i s p o r t s
  • 11. D I G I T A L T R A N S F O R M A T I O N Predictive statistics: Gets better with more data Expected Goals: xG PORTUGAL WINNING THE EUROPEAN CHAMPIONSHIP: WON ONLY 1 OUT OF 7 MATCHES WITHIN 90 MINUTES THEIR DEFENDING WAS VERY STRUCTURED AND SOLID PORTUGAL WERE THE ONLY TEAM CONCEDING LESS THAN 1 XG PER MATCH (EVEN AGAINST HUNGARY) AND AVERAGED A MEAN XG AGAINST OF ONLY 0.56 PER MATCH. COMBINING THIS WITH A LETHAL COUNTER ATTACK RESULTED IN PORTUGAL WINNING THE EURO2016! S o u r c e : S c i s p o r t s
  • 12. D I G I T A L T R A N S F O R M A T I O N “From watching a football match to seeing a football match” – 11Tegen11 Expected Goals: xG S o u r c e : 1 1 T e g e n 1 1 H T T P S : / / T W I T T E R . C O M / I / S T A T U S / 1 0 1 1 3 4 9 0 9 0 7 3 3 5 6 8 0 0 2 C OMPOSITE IMAGES TH AT SH OW XG FOR BOTH SID ES IN AN Y GIVEN GAME, EAC H EFFOR T ON GOAL MAPPED ON TO TH E PITC H ( TH E B IGGER TH E B LOB , TH E B ETTER TH E C H A N C E ) EQU ALLY FASC IN ATIN G PA SS MA PS TH AT MAP AGGR EGATE POSITION S OF PLAYER S ON TH E PITC H AN D TH E PASSIN G LIN KS W ITH TH EIR TEAM - MATES
  • 13. D I G I T A L T R A N S F O R M A T I O N Nerd Fans Case: Sports We will start watching (or seeing) games differently, partly as a result of a changing audience. Posting xG on Match of the Day will be a talking point, it will give them something to argue about and get a rise out of fans. The data will show you what happens over the course of a million shots and experts can tell you why. It will also bring a new kind of fan to the game, absolutely. This kind of data overlaps with people who play Football Manager or fantasy league. It’s exactly the same thing, you take information about players and you evaluate them. If you want to be better in fantasy league then you need data.
  • 14. D I G I T A L T R A N S F O R M A T I O N Field of Dreams: Data, Apps, AR Case: Sports SAP SPORTS ONE THE PLATFORM IS THE EVOLUTION OF SAP MATCH INSIGHT, USED BY THE GERMAN NATIONAL SOCCER TEAM DURING BRAZIL 2014. MAIN FEATURES : TRAINING PLANNING FITNESS PERFORMANCE CONTROL SCOUTING PROCESS OPTIMIZATION
  • 15. D I G I T A L T R A N S F O R M A T I O N Sensors for real-time data gathering Case: Sports This system allows users to gather players’ data (like accelerations and ground covered), but also to calculate correlations between other values like team performances, average distance between players, and movement directions. HTTPS://WWW.YOUTUBE.COM/WATCH?TIME_CONTINUE=27&V=YSBIKA1USWK WHEARE IS AN ITALIAN REAL-TIME ANALYSIS PLATFORM, DEVELOPED BY SPACEEXE. The data is gathered by a GPS antenna, an accelerometer and a GNSS receiver placed in the shin guard, then sent over to a pc or tablet for a real-time preview, and to a remote server for a more in-depth subsequent analysis.
  • 16. D I G I T A L T R A N S F O R M A T I O N Drones to check the grass Case: Sports WESII: DRONES FOR PITCH ANALYSIS WESII’S IDEA WAS TO ANALYSE THE SOCCER PITCH FROM A DRONE VIA MULTI- SPECTRUM SENSORS, PROVIDING INFORMATION ABOUT THE PITCH CONDITIONS NOT VISIBLE TO THE NAKED EYE, LIKE SLIPPERINESS. IT IS A KIND OF ANALYSIS ALREADY ADOPTED IN OTHER FIELDS, LIKE PRECISION AGRICULTURE, BUT STILL A NOVELTY FOR SPORT.
  • 17. D I G I T A L T R A N S F O R M A T I O N AI for Video Analysis Case: Sports STATSEDGE PRO: ARTIFICIAL INTELLIGENCE FOR VIDEO ANALYSIS STATSEDGE IS AN INNOVATIVE PRODUCT IN THIS FIELD: IT ALLOWS IN-DEPTH VIEWS OF MATCHES (LIKE EXPECTED GOALS, SHOTS, ACTION AREAS, FOULS), AND ANALYSIS OF THE OPPONENT’S WEAKNESSES AND STRENGTHS, PERFORMING ACCURATE TRANSITION ANALYSIS.
  • 18. D I G I T A L T R A N S F O R M A T I O N Search for Similarity in Plays Case: Sports STATSEDGE HOWEVER, THE TRULY INNOVATIVE FEATURE OF THIS PRODUCT IS THE POSSIBILIT Y TO SEARCH CLIPS FOR SIMILARITY USING TRACKING DATA, THANKS TO SOPHISTICATED AI ALGOR ITHMS. H T T P S : / / W W W . S T A T S . C O M / E D G E /
  • 19. D I G I T A L T R A N S F O R M A T I O N Nodes and Lines: Graphic representation of a match Soccer is a flow sport SOCCER IS A FLOW SPORT PRODUCES A NETWORK VISUAL FOR EACH TEAM, COMPRISED OF NODES — ONE CIRCLE FOR EACH PLAYER — AND LINES CONNECTING THOSE PLAYERS. THE NODES AND LINES VARY IN SIZE — LARGER CIRCLES INDICATE MORE INFLUENTIAL PLAYERS, AND WIDER LINES REFLECT STRONGER CONNECTIONS BETWEEN PLAYERS. FLOW SPORTS, ARE MORE COMPLEX. THINGS ARE ALWAYS IN MOTION. PLAYERS MOVE ALL OVER. THERE ARE NO BREAKS IN PLAY WHEN THE CLOCK IS RUNNING
  • 20. D I G I T A L T R A N S F O R M A T I O N Comment on CR7: “Possibly not a human” – Paddy Cosgrave Average Footballer Rating (AFR) “AVERAGE FOOTBALLER RATING” (AFR) FOR EACH PLAYER, BASED ON HOW INFLUENTIAL THEY ARE IN SOCCER MATCHES . THE AFR VALUES OF ALL PLAYERS ON A GIVEN TEAM INDICATE THAT TEAM’S STRENGTH — ITS SUCCESS AT MAKING PASSES THAT RESULT IN GOALS A PLAYER WITH AN AFR GREATER THAN 70 IS PRETTY MUCH SUPERHUMAN,” AMARAL SAYS. “AND AN AFR ABOVE 70 OVER MANY SEASONS IS GOD-LIKE.” LUÍS A. NUNES AMARAL C o - D i r e c t o r , N o r t h we s t e r n I n s t i t u t e o n C o m p l e x S y s t e m s P r o f e s s o r o f C h e m i c a l & B i o l o g i c a l E n g i n e e r i n g P r o f e s s o r o f P h y s i c s & A s t r o n o m y P r o f e s s o r o f M e d i c i n e
  • 21. D I G I T A L T R A N S F O R M A T I O N Amaral Lab World Cup 2018 Average Footballer Rating (AFR) “WHEN YOU ARE ESTIMATING THE WINNER OF A WORLD CUP, LUCK AND CHANCE PLAY A HUGE ROLE,” MUCH MORE THAN IN THE LARGER SAMPLE SIZE OF A LONG SEASON. WHAT AMARAL’S SYSTEM CAN DO IS DETERMINE PROBABILITIES. “OUR ALGORITHM TELLS US WHAT THE LIKELIHOOD OF OUTCOMES ARE,” AMARAL SAYS. “IT’S THE DIFFERENCE, FOR INSTANCE, BETWEEN ASKING WHAT’S THE LIKELIHOOD THAT CERTAIN TEAMS ARE GOING TO MAKE THE PLAYOFFS, VERSUS WINNING THE SUPER BOWL.” THE BEST PLAYERS IN THE WORLD AS OF MAY 2018
  • 22. D I G I T A L T R A N S F O R M A T I O N 2018 World Cup Dream Team. Average Footballer Rating (AFR) WHO’S YOURS?
  • 23. C O N C L U S I O N S 1. THE WORLD HAS CHANGED AND NEW BUSINESS MODELS ARE CHALLENGING INCUMBENTS. 2. WE ARE IN THE MIDST OF THE 4TH INDUSTRIAL REVOLUTION. 3. THE RULES OF ENGAGEMENT HAVE CHANGED. 4. THE POWER OF ONE. 5. THE RISE OF PROSUMERS. 6. THE ECONOMY OF FLOWS 7. THE POTENTIAL TO CREATE VALUE STEMS FROM CONNECTIONS AND THE POWER OF THE NETWORK. 8. SOCIAL, MOBILE, REAL TIME 9. PLATFORMS ARE THE BASIS OF VALUE 10.EVERYTHING IS DIGITAL! EVEN FOOTBALL! Conclusions