Week 3 Case Study CIS 500
Case Study 1: The Big Data Challenges
CIS 500 – Information Systems for Decision Making
04-27-2014
Integration of loud infrastructure
Strader, whom is the CIO at Volvo, created vehicles that are data rich it environments given that consumers today highly value smart tech as much as automotive engineering. Volvo Car Corporation is one of the car industry’s most well-known brands. Volvo brand focuses on passengers and drivers; for the fact that the company strive to develop some of the safest cars on the road.
In an effort to address its need for a cost-effective infrastructure to help serve a global audience with high performance, Volvo implemented a cloud-based solution. At this company, the large volumes of data are streamed in to a centralized analysis hub, Volvo data warehouse in addition to data from the customer relationship systems, dealership system, product development as well as design systems. Volvo has captured terabytes of data through sensors and CPUs embedded in their cars.
How the company transforms data in to knowledge
Data is the raw material from which information is produced; for example, taking a look at the number of hours an employee worked for that particular week or the number of new Volvo sold in the first quarter (Turban & Volonino, 2011). Data is simply converted in to knowledge through splicing of the data together.
When terabytes of data are collected and stored into Volvo system; they combined and analyzed them to extract useful information. Through this splicing, the company engineers are pre-warned about potential problems that may show up later, thus providing some knowledge. As a result, Volvo can be able to spot patterns indicating or potentially indicating potential problems or issues in a given part and mostly before the consumer is exposed to such flaws. In this case, cloud computing provides a good level of knowledge, which they may not have detected in time, and from this knowledge, put
CIS 500 – Information Systems for Decision Making
04-27-2014
Integration of loud infrastructure
Strader, whom is the CIO at Volvo, created vehicles that are data rich it environments given that consumers today highly value smart tech as much as automotive engineering. Volvo Car Corporation is one of the car industry’s most well-known brands. Volvo brand focuses on passengers and drivers; for the fact that the company strive to develop some of the safest cars on the road.
In an effort to address its need for a cost-effective infrastructure to help serve a global audience with high performance, Volvo implemented a cloud-based solution. At this company, the large volumes of data are streamed in to a centralized analysis hub, Volvo data warehouse in addition to data from the customer relationship systems, dealership system, product development as well as design systems. Volvo has captured terabytes of data through sensors and CPUs embedded in their cars.
How the company transforms data in to knowledge
Data is the raw material from which information is produced; for example, taking a look at the number of hours an employee worked for that particular week or the number of new Volvo sold in the first quarter (Turban & Volonino, 2011). Data is simply converted in to knowledge through splicing of the data together.
When terabytes of data are collected and stored into Volvo system; they combined and analyzed them to extract useful information. Through this splicing, the company engineers are pre-warned about potential problems that may show up later, thus providing some knowledge. As a result, Volvo can be able to spot patterns indicating or potentially indicating potential problems or issues in a given part and mostly before the consumer is exposed to such flaws. In this case, cloud computing provides a good level of knowledge, which they may not have detected in time, and from this knowledge, put
References: Gardner, Dana. “Ford scours for more big data to bolster quality, improve manufacturing, streamline processes.” BriefingsDirect on ZDNet.com. Jan. 9, 2013. McKinsey Global Institute. “Big data: The next frontier for innovation, competition, and productivity.” June, 2011. Simson Garfinkel (3 October 2011). "The Cloud Imperative". Technology Review (MIT). Retrieved 31 May 2013. Turban, E., & Volonino, L. (2011) Information technology for management (8th ed.). Hoboken, NJ:Wiley & Sons.