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Global Intelligence for The CIO Case Study
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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Excellent Quality 95-100%
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Introduction
45-41 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned. |
Literature Support 91-84 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned. |
Methodology 58-53 points Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met. |
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Average Score 50-85% |
40-38 points More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided. |
83-76 points Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration. |
52-49 points Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met. |
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Poor Quality 0-45% |
37-1 points The background and/or significance are missing. No search history information is provided. |
75-1 points Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration. |
48-1 points There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met |
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Global Intelligence for The CIO Case Study |
Global Intelligence for The CIO Case Study