Volvo Case Study
Volvo Case Study
Judge how Volvo Car Corporation integrated the Cloud Infrastructure into its Networks Volvo serves a worldwide clientele; so to provide the greatest performance available; it sought an internationally distributed infrastructure that would place storage capabilities and computer processing within fingertip reach, regardless of a customer’s location. Also, their efforts led to reducing technology costs, achieving critical levels of scalability, freeing creativity while eliminating technology limitations (Microsoft Case Studies, 2011).
Volvo was triumphant in their attempt to interface the cloud infrastructure into its networks by manufacturing vehicles that are, practically, well-connected, data-rich information technology environments. With a lion’s share of computer processing units and sensors embedded over the vehicle, from the brakes to the central locking system, data is captured within the confines of vehicle itself plus for transmission via the cloud infrastructure directly to the manufacturer. Most of all, it is exploited to bolster client relations and improve manufacturing processes (Global Intelligence for the CIO, 2011.
Explain how Volvo Car Corporation transforms Data into Knowledge Volvo converted this data into knowledge by capturing data streams into their Data Warehouse, while simultaneously integrating and dissecting them to generate different types of valuable information. Furthermore, they have the capacity to acquire early prognostic data on problems; for example, on manufacturing flaws that have not occurred. The assertion behind this data is to give Volvo insight through the exploitation of rapid, almost real-time analysis or analytic velocity to support them with moving ahead of their rivals and bestowing better service to their customers.
Additionally, the software affords Volvo with the capacity to yield data driven solutions. A good illustration of this is Volvo’s unrelenting focus on driver safety. Their vehicles have rated among the safest and that is centered on their capacity to evaluate system and safety data accumulated from vehicles. Another illustration would consist of the development of an effective vehicle maintenance plan because they can recognize when particular components need checking or replacing (Microsoft Case Studies, 2011.
Identify the Real-time Information Systems implemented and evaluate the Impact of these Implementations. Volvo’s Real-Time Traffic or RTT1 is an information system that can find streets and roads with traffic congestion, while making it possible to choose a secondary route around the congested area. Also, the system contains components that enable drivers to store special destinations, search for specific types of points of interest, obtain traffic information en route, and set itineraries.
Furthermore, the real-time system point outs the vehicle’s present location, and displays some or the complete route to a pre-determined destination, depending on the driver’s settings. Moreover, if a driver needed to deviate from a route initially set by the system, a new route to the destination automatically will be calculated (Volvo Navigation System Operating Manual, 2011. ) Another real-time system is Volvo’s CareTrack telematics system. Basically, a fleet owner or operations manager can “monitor the equipment’s load data remotely and gives insight into the machine’s productivity” (Eauclaire, 2012, para.6. ).
Additionally, the system affords complete payload management and logs transported loads, giving access to data, such as tons transported per liter of fuel, total number of vehicle cycles, and total transported load in tons. The CareTrack system was invented to support the electronic control system in bolstering machine utilization and optimizing productivity. CareTrack manipulates satellite technology or a mobile network to transmit data directly and securely to any remote online interface. Essentially, the system’s objective is to recognize potential mechanical problems early and solve them faster.
This is accomplished by activity warnings, facilitating remote diagnostics, and fault reporting. Therefore, machine deployment and operation are optimized through functions that monitor hours of operation, approaching service intervals, fuel consumption, speed, and location (Eauclaire, 2012. ) Argue how the Big Data Strategy gives Volvo Car Corporation a competitive advantage. In layman’s term, Big Data is used to describe the capacious “amount of structured and semi-structured data generated by companies” (Global Intelligence for the CIO, 2011.)
As such, many companies to this day still face challenges when capturing, storing, searching, and analyzing Big Data. The Volvo Car Corporation encountered this dilemma because of the enormous amount of data it was streaming from its vehicles. Moreover, real-time analytical capabilities present Volvo with an uncontested advantage over its rivals. In today’s technologically advanced world, knowledge is definitely “power” and the ability to have that “power” within grasp permits Volvo to exploit Big Data Strategies to bestow quality service to their clients.
Also, it integrates vehicle and warranty diagnostic data and product configuration to support business and technical analysis throughout the product development. Furthermore, the accessibility to modern, quality-controlled data is altering organizational decision-making processes, leading to advantageous in customer satisfaction, warranty costs, bottom line profitability, and quality. Conclusion With the incorporation of Cloud infrastructure, real-time information systems, big data strategies as well as the transformation of data in knowledge, the Volvo Corporation continues to leave it mark on the car market nationally and internationally.
Their unrelenting commitment to driver safety is one of their motivating factors for pursuing and implementing innovative technological advancements. Therefore, based on technology’s influence on vehicle quality and design, Volvo’s data warehouse may have left its greatest impression on the company’s decision-making processes. Also, it helps Volvo to make sure they are focusing on the issues that would probably affect the experiences of a customer. References Eauclaire, M. (2012). Ready, set, load! Retrieved from http://www. oemoffhighway. com/article/10628174/ready-set-load.
Global Intelligence for the CIO. (2011). Case study Volvo: Converting data into business value at Volvo. Retrieved from http://www. i-cio. com/__data/assets/pdf_file/0004/8833/i- cio_Case_Study_Volvo. pdf Microsoft Case Studies. (2011). Volvo unleashes creativity, engages one million visitors with Cloud-based campaign. Retrieved from http://www. microsoft. com/casestudies/ Case_Study_Detail. aspx? casestudyid=4000008490 Volvo Navigation System Operating Manual. (2011). Retrieved from http://esd. volvocars. com/local/us/Navigation_Manuals/2012-Volvo-Navigation-Manual- S60-S80-XC60-XC70. pdf.
Subject: Real-time computing,
University/College: University of California
Type of paper: Thesis/Dissertation Chapter
Date: 27 September 2016
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