How do you get smart about big data in your business? This is how we put data analytics into action at the Tour de France 2015. Follow these 6 simple steps to achieve smarter data. 

1. A smart data analytics story
starts with core digital infrastructure
– to make your business unstoppable
in the competitive race to digital
different values attached to data
at each stage of analytics
– with different business decisions
to be made at each stage.
6 stages of smart data
@NextGenDC dimensiondata.com/global/solutions/data-centres
Go to dimensiondata.com/tourdefrance/casestudy for more.
Dimension Data can help you define your
strategic business roadmap towards a
digital enterprise – and identify gaps in
your IT.
We can assist you in building and
managing the right digital infrastructure,
underscored by our global cloud
footprint, network, and expertise
in cybersecurity.
Digital
disrupts and informs a
new way of doing business
– insight from big data redefines
your business and
makes it more agile
How do you get smart about big data
in your business?
Do you know what data you’ll need
before you start the search?
• focus on information you need right now to drive transformation
• define the primary objective – improve performance, cut costs,
quality control, increase user experience
• start small for success to justify future investment, prove business value
Stage 1 :
Define the outcomes you’re
looking for up front
Stage 2 :
Decide how you’re going to
capture data
What information can you access?
Who would need this information?
How do you simplify the
framework to optimise
your delivery model?
• leverage the Internet of Things to gather data
• define what’s critical
• decide who needs access to what
• scope the lifecycle of data
• don’t overcomplicate matters:
match infrastructure investments
to business environment
• remove barriers between data silos
to centrally manage information
• keep and dispose of data according
to applicable governance rules
• start with smaller pilot projects for
more control
Stage 3 :
Adapt the solution to fit your
unique business model
Stage 4 :
Discover how to leverage agile data
to make faster business decisions
We built a fit-for-purpose solution in big data truck
to match a fast-paced, remote, and volatile environment
We delivered real-time analytics to
enhance viewing experience
Alpe d’Huez
big
data
truck
How can you make the data more
consumable and immediate?
• smaller sets of data to make
real-time decisions
• speculate on deeper analytics for
the future
• solution must provide immediate
business decision-making value
Stage 5 :
Evaluate data to identify patterns
and discover new insights
We delivered live-speed data on TV for the first
time and greater social media engagement
Can you leverage cloud to capture and
keep high-volume data until you’ve
decided its value to your business?
• cost-effective high-volume public cloud
• hybrid IT to keep sensitive data on-premise or private cloud
• scalability and flexibility of consumption model
You’ll find
Stage 6 :
Segment and prioritise data tiers
to share with relevant users
We delivered different sets of data to different broadcasters
With whom do you need
to share data?
• define data tiers in your infrastructure
• decide who receives summary data
or specific data
• data scientists can help make real-time
decisions and predict future patterns
Start with the finish line in sight …
We captured rider performance at every moment of the race
We put data analytics into action for Tour de France 2015
We tracked riders through a mesh network