Kim Woods

Kim,

This is a 2-4 page Case Study that is due 10/23/14 and I am willing to $20 for this assignment. Please follow all instructions that are attached below.

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:

1. Judge how Volvo Car Corporation integrated the cloud infrastructure into its networks.

2. Explain how Volvo Car Corporation transforms data into knowledge.

3. Identify the real-time information systems implemented and evaluate the impact of these implementations.

4. Argue how the Big Data strategy gives Volvo Car Corporation a competitive advantage.

5. Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.

Your assignment must follow these formatting requirements:

• Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.

• Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.

The specific course learning outcomes associated with this assignment are:

• Explain how the components of an information technology system interrelate in an organizational context.

• Compare and contrast the strategic and operational use of data management systems.

• Use technology and information resources to research issues in information systems and technology.

• Write clearly and concisely about topics related to information systems for decision making using proper writing mechanics and technical style conventions.

Grading for this assignment will be based on answer quality, logic / organization of the paper, and language and writing skills. I

GLOBAL

INTELLIGENCE

FOR THE CIO

January 2011

CASE STUDY

“We’re now capturing massive amounts

of data fromour 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 manyconsumers now value smart tech as much as automotiveengineering, manufacturers need to create vehicles that are,

in effect, highly connected, data-rich IT environments. Withhundreds 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, andalso, increasingly, for transmission via the cloud back tothe manufacturer.At Volvo, those huge volumes are streamed into acentralized analysis hub, the Volvo Data Warehouse,alongside data from customer relationship systems, dealership systems, and product development and designsystems. 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 atFord, where he was formerly manager of in-vehicle systems*.Above all, it is being used to optimize manufacturingprocesses, enhance customer interaction and boost safety.

“By splicing that data together, we are pre-warned aboutpotential issues such as mechanical problems that mighthave shown up later in the field,” he says. So, very early ina 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 ofwell-honed lean processes, Volvo is immediately able toresolve the problem by adjusting its manufacturing processor going back to its suppliers to request improvements.“Before it gets out into, perhaps, 500,000 units, we canstop an issue when spotted in the first 1,000 units. Andthat’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 analysisis driving improvements is in safety. At its state-of-the-artSafety 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 howwell it responded,” says Strader. This enables Volvo to furtherenhance 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 cantune that in the field: the next time a customer is in for a service, they can get a software upgrade that ensures thecar 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.