Brochure
14
Brochure | HP LTO Ultrium Storage Media
The driving power
of big numbers
HP’s mobile app, which had been developed for the Cape to Cape world record tour, was
integrated closely with social media, providing the perfect opportunity to examine a
campaign in-depth and use HP’s big data solutions to interpret the 1.8 billion rows of raw
data and 53,000 single social media interactions. The team examined the activity of the
race sponsors across Facebook, Instagram and Twitter plotting frequency of posting against
numbers of followers to determine eectiveness. This insight readily identied the actions
that clients would need to take to increase and optimize impact. The team also developed
a timeframe optimization for responding to comments to ensure optimal eectiveness.
Looking further into the data, would it be possible to dierentiate driving styles and develop
new use cases? Algorithms and application techniques were designed to combine and correlate
the signals from the dierent data streams, including braking, acceleration, speed, steering
and onboard protection assistance systems. A team of specialists analyzed the output and
identied three distinct driver proles – exactly matching the race team – despite having
little knowledge of the race itself. The detection of such a clear and compelling ‘driver
signature’ was unexpected but is typical of the power of big data to turn up ‘hidden’
correlations and insights. A number of potential use cases present themselves.
How HP powered the Cape to Cape car
Machine data
Social media
data
Big data analytics
Industry use cases
Mobile app