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

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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 datatruck

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