peter gray - revolutionising the viewing experience of the tour de france

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Revolutionising the viewing experience of the Tour de France. If you believe you can do anything, we’re here to help you do it. Peter Gray, Senior Director – Technology, Sports Practice

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Revolutionising the

viewing experience of

the Tour de France.

If you believe you can do anything,

we’re here to help you do it.

Peter Gray, Senior Director – Technology, Sports Practice

b y ad van ces i n t ech n o l o g y.

There’s no part of thesports experience that won’t be radically impacted

race organisers, rights owners, and TV networks

have had an unchallenged hold on broadcasting content.

For decades,

Digital is changing this

dramatically.

What fans expect today

Over the years, A.S.O. has continuously

transformed its fan experience to:

1903

Newspaper

Radio Television

Digital era2015

Grow their reach And drive growthDelight their audiences

The start of A.S.O.’s journey…

accelerate your ambition

Internet of Things

Reaching the next generation

of fans in ways that keep them engaged

Live speed data on television for the

first time in cycling history

Data goes viralTweet received

31,801engagements

= doubled followers on @letourdata

letourdata@letourdata

RETWEETS

1,037

FAVOURITES

403

Following

letourdata@letourdata

RETWEETS

1,037

FAVOURITES

403

Following

The crash in data – from within

@DimensionData truck.

Average speed during fall was

42.03 km/h. #TDFdata

#TDF2015

2016

New ways

of capturingrace data

New insights into

race tactics and

more data

New ways

of analysingrace data

New ways of

visualising and publishing race data

from publishing data to telling great stories

accelerate your ambition

90.9km/h

Froome (SKY) hit a top speed of

gaining 13” on the descent of

col de peyresourde (stage 8)

to claim the Yellow Jersey

accelerate your ambition

The stories behind the

sprint finishes…

At the end of a long day in the saddle, it’s all in the

strategy, power, energy, experience, and timing to see who has what it takes.

accelerate your ambition

Using data to track the impact ofweather conditions on the race

changed the way media are reporting on cycling

Irrevocably

Broadcasters request custom data and insights for TV and social media

Data tweets appear in

online webcasts

Telemetry data and @letourdata tweets appear on

TV broadcasts

(Eurosport)

#TDFdata hashtag adopted

Data reporting now competitive as new accounts,

and new data analysts emerge

Growth of audience from

2014 vs 2016 for A.S.O.

1.4 M

1.1M downloads in

2014

downloads of

the official app

vs

55 M

6M views in 2014

video views on 5

digital platforms

vs36 M

30M visits in 2014

unique visits

in July 2016

vs

2.4 M fans

(+20% vs 2015)

2.6 M followers

(+60% vs 2015)

6 M

3.2M fans in 2014

on social media

(addition of the different platforms)

vs

2017Revolutionising the viewing experience of the Tour de France

through real-time predictions as the race unfolds

Real-time analysis and prediction

De-duplication

Interpolation

Sanitisation

Correlation

Grouping

Relative

positioning

Situational

Cleanse Enrich Predict

Profiling

Modelling

Publishing

Live data publishingData visualisation and stories

Shows rider’s strengths and weaknesses across

different stage profiles based on historical race

results and performance. This helps us understand the

environments and circumstances in which they perform

best.

New rider profiles

Which riders are likely to do well on a given stage based

on their profile, results, current form and the nature of

the day’s route?

#DDpredictor

Live data publishingData visualisation and stories

To be trialled during the Tour in collaboration with A.S.O.

Shows how hard a rider is working at any point

during the stage, based on speed, route profile, gradient,

wind direction, and position in the peloton. This helps us

tell a more detailed story of how race tactics.

The #DDEffortIndex

The result of complex algorithms that analyse historical

and live data, showing the likelihood of real-time race

events – e.g. the peloton’s chance of catching the

breakaway

#DDpredictor

Revolutionising the viewing experience…

Machine learning and predictive analytics understand data from current and previous races giving followers new levels of insight about team strategy and tactics at every stage of the race.

Data analytics

Live tracking that delivers race insights to broadcasters and fans is more agile and responsive thanks to virtualising the data centre in the cloud. Managed services help to simplify, monitor, and automate the management of the hybrid IT environment.

Hybrid IT Digital workplace

Tour de France technical teams now work in hyperconnected mobile collaboration hubs thanks to the latest digital and virtual workplace technologies. The visual communications environment is supported and managed through managed services.

The massive volume of race info is protected from intrusions while data flows freely from bikes to the cloud to ensure uninterrupted experiences for fans.

Cybersecurity

Special sensors attached to bikes produce real-time data from individual riders giving fans a closer view of the action. Includes the speed and positioning of riders, the composition of groups, distances between riders, course gradient, and weather conditions.

Internet of things

accelerate your ambition

What does the Future Hold?

Innovating to deliver what

fans, media, teams and

riders want

Thank you.