Topic: Big Data Challenges
Order Description
Case Study 1: The Big Data Challenges Due Week 3 and worth 100 points Big Data is a term used to describe the voluminous amount of structured and semi-structured data
generated by companies. The term is used when referring to petabytes (PB), exabytes (EB), and zettabytes (ZB) of data. Companies face challenges when it comes to
capturing, storing, searching, and analyzing Big Data.
The Volvo Car Corporation faced this problem because of the massive amount of data it was streaming from its vehicles. Study the Volvo Car Corporation case study
titled, �Converting data into business value at Volvo�, located here.
Write a two to four (2-4) page paper in which you:
Judge how Volvo Car Corporation integrated the cloud infrastructure into its networks.
Explain how Volvo Car Corporation transforms data into knowledge.
Identify the real-time information systems implemented and evaluate the impact of these implementations.
Argue how the Big Data strategy gives Volvo Car Corporation a competitive advantage.
Use at least three (3) quality resources in this assignment.
Note: Wikipedia and similar Websites do not qualify as quality resources.
GLOBAL INTELLIGENCE FOR THE CIO
January 2011
converting data into
business value at volvo
www.i-cio.com 01 I
CASE STUDY
“We’re now capturing massive amounts of data from
our vehicles,” says Volvo Car Corporation’s Rich Strader.
“And there is a compelling opportunity to turn that resource
into something that not only helps us build better cars,
but also helps the customer have a better experience.”
Strader, who has just completed a 12-month stint in the
CIO’s chair at Volvo, is convinced that, in a world where many
consumers now value smart tech as much as automotive
engineering, manufacturers need to create vehicles that are,
in effect, highly connected, data-rich IT environments. With
hundreds of sensors and CPUs embedded throughout the
car — from the brakes to the central locking system — data
is now being captured for use within the vehicle itself, and
also, increasingly, for transmission via the cloud back to
the manufacturer.
At Volvo, those huge volumes are streamed into a
centralized analysis hub, the Volvo Data Warehouse,
alongside data from customer relationship systems,
dealership systems, and product development and design
systems. And Volvo’s ability to draw insight from this
multi-terabyte resource is creating clear business advantage,
says Strader, who has now returned to a senior IT post at
Ford, where he was formerly manager of in-vehicle systems*.
Above all, it is being used to optimize manufacturing
processes, enhance customer interaction and boost safety.
“By splicing that data together, we are pre-warned about
potential issues such as mechanical problems that might
have shown up later in the field,” he says. So, very early in
a car’s lifecycle, Volvo can spot patterns that may indicate
a potential flaw in a particular part — frequently before a
customer is exposed to the issue. By applying a set of
well-honed lean processes, Volvo is immediately able to
resolve the problem by adjusting its manufacturing process
or going back to its suppliers to request improvements.
“Before it gets out into, perhaps, 500,000 units, we can
stop an issue when spotted in the first 1,000 units. And
that’s a much less expensive thing to do. Plus, few — if any
— customers are impacted and their positive experience
of the brand remains intact,” says Strader.
Another area where large-scale data capture and analysis
is driving improvements is in safety. At its state-of-the-art
Safety Center, the Swedish company performs detailed,
forensic examinations of Volvos that have been involved in
different kinds of accident. “We’re now able to extract huge
amounts of digital information from a vehicle and see how
well it responded,” says Strader. This enables Volvo to further
enhance its market-leading safety record. “We can ask, for
example, ‘Are our airbags timed to deploy at exactly the right
moment for a particular set of circumstances?’ And we can
tune that in the field: the next time a customer is in for a
service, they can get a software upgrade that ensures the
car is going to perform even better in an accident.”
Strader believes the sheer volume of data being amassed
can be the basis for improvements right across the value
chain, as long as the resources are applied to turn it into
valuable knowledge. “The information that is now at our
disposal is just waiting for the analytical work to be done
on it,” he says. “The real challenge for most companies is to
find a way to fund that work, because that’s where you’ll get
the true breakthrough ideas.” l
* Ford was the Volvo Car Corporation’s parent company until
August 2010, when the Swedish manufacturer was sold to
China’s Geely. Strader was on temporary assignment at Volvo
as CIO to oversee the de-merger of the two companies’ IT
and related processes.
How access to vast, new data resources is driving manufacturing excellence,
customer satisfaction and vehicle safety at volvo cars.
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