Volvo began the challenge of big data in 2006 when they formed a partnership with the Teradata Corporation and began to build their first data warehouse and change their process and IT infrastructure to create and more responsive, scalable and accurate information system. They entered into cloud technology to continue a marketing campaign involving the Twilight movie series and their customers. The films’ use of Volvo cars led to a tremendous increase in internet traffic causing slowdowns and failures on their networks. To avoid future breakdowns and initiate a contest involving a video game, Volvo turned to the cloud. “In an effort to address its needs for a cost-effective infrastructure that provided the ability to quickly scale up to handle a high volume of traffic and that would also serve a global audience with high performance, Volvo chose to implement a cloud-based solution.” 1 More recently, Volvo partnered with Ericsson to create a cloud based service beneficial for the consumer, the company and other community partners. “Drivers and passengers will be able to access applications for information, navigation, and entertainment from a screen in the car. At the same time, Volvo Cars will be able to open parts of the platform to other players in the eco-system of the automotive industry.” 2 In both cases Volvo recognized the incredible flexibility and affordability utilizing the cloud to engage and serve their customer base in unique ways that were not possible with their previous IT infrastructure. Volvo’s mission is to become the customer service leader in the automotive industry. The aforementioned examples demonstrate Volvo’s commitment to the advancements and advantages offered in a constantly evolving technology world.... ... middle of paper ... ...iled data on all its cars, they can scope problems more accurately, because they don’t need to integrate that data manually they can act on it faster. And because all the functional teams within Volvo are working with the same data, they can act as one.” 7 Works Cited Microsoft Case Study: Microsoft Azure - Volvo Cars. (n.d.). Microsoft Case Study: Microsoft Azure - Volvo Cars. Retrieved April 27, 2014, from http://www.microsoft.com/casestudies/Windows-Azure/Volvo-Cars/Global-Car-Manufacturer-Selects-Microsoft-Cloud-Services-to-Launch-Worldwide-Game/4000008490 Teradata case study: A car company powered by data. (n.d.). The Big Data Insight Group. Retrieved April 25, 2014, from http://www.thebigdatainsightgroup.com/site/article/teradata-case-study-car-company-powered-data Ericsson. (n.d.). .com. Retrieved April 27, 2014, from http://www.ericsson.com/news/1665573
In the past number of years data has grown exponentially. This growth in data has created problems that and a race to better monitor, monetize, and organize it. Oracle is in the forefront of helping companies from different industries better handle this growing concern with data. Oracle provides analytical platforms and an architectural platform to provide solutions to companies. Furthermore, Oracle has provided software such as Oracle Business Intelligence Suite and Oracle Exalytics that have been instrumental in organizing and analyzing the phenomenon known as Big Data.
DriveNow is a joint venture of the automobile manufacturer BMW Group and the car rental company Sixt SE. The carsharing provider was founded in Munich, Germany in 2011 and now offers its services in four other German cities, as well as in London, Vienna, Copenhagen and Stockholm. In 2014, DriveNow was the carsharing operator with most customers in Germany (Book and Fasse, 2014) and had 500,000 customers worldwide for the first time in 2015 (Lilly, 2015). The service has promptly announced an enhanced international expansion. Accordingly, DriveNow wants to start operations in ten North American cities, as well as in up to 15 European cities. In the past, DriveNow was already operating in San Francisco, California until the service had to retreat again due to strict regulations of San Francisco’s municipality (Knauer,
After understanding the possible outcomes and usages of Big Data Mining and Analytics, the study of the process is necessary to identify the real possibilities behind this techniques and how this can improve a business performance. To do this; we should comprehend the basics about data mining and the process that leads from pure data to insights.
Big Data is a term used to refer to extremely large and complex data sets that have grown beyond the ability to manage and analyse them with traditional data processing tools. However, Big Data contains a lot of valuable information which if extracted successfully, it will help a lot for business, scientific research, to predict the upcoming epidemic and even determining traffic conditions in real time. Therefore, these data must be collected, organized, storage, search, sharing in a different way than usual. In this article, invite you and learn about Big Data, methods people use to exploit it and how it helps our life.
While society continues to move at a faster pace, Amazon makes it a priority of theirs to make the fleet lifestyle as easy as possible. While Amazon is known for orchestrating a wide-range of products and services, the firm’s project management teams are more of a cross-functional position than anything else. From project to project, teams, roles, designs, requirements, and processes are ever-changing. Amazon continuously thinks outside of the box which has led to its success as a multidimensional empire. By encouraging long-term progress, focusing on consumers, and strengthening the company’s IT infrastructure Amazon manifests life-changing technology.
Amazon Web Services has benefitted Ericsson. Ericsson had specific business needs for the support of their business and Amazon’s Web Services was able to provide them with a robust global infrastructure that provided Ericson some significant cost savings. AWS gave them the ability to scale their application according to the business demand or changes. Remote assess has allowed then the ability to access their systems via the cloud anytime from anywhere. Ericsson chose AWS because they are considered to be the best integrated public cloud provider. “The Ericsson team states that having hosting centers in various regions was important for them. AWS also showed a better quality of service with solid management and a proven track record.” (Amazon Web Services, 2012)
Companies like Google, Tesla and Nissan, among others, have announced over the past few years that their companies are trying to develop self-driving or autonomous cars [Ref. 1 and 2]. Self-driving cars can provide many benefits to the average consumer. Studies have shown that because computers can react and process information many times faster than a human being, crashes on streets and roads can be decreased with quick and consistent evasion maneuvers by the autonomous car. They can also help maximize fuel economy by calculating the most direct and fastest routes. When the driving of an autonomous car demonstrates that the computer can safely and reliably transport the passengers to their destination, this frees up the passengers to do other things that they would not normally be able to do if they were driving the car manually. For this reason, self-driving cars can help maximize productivity of their passengers.
In today’s society, technology has become more advanced than the human’s mind. Companies want to make sure that their information systems stay up-to-date with the rapidly growing technology. It is very important to senior-level executives and board of directions of companies that their systems can produce the right and best information for their company to result in a greater outcome and new organizational capabilities. Big data and data analytics are one of those important factors that contribute to a successful company and their updated software and information systems.
Vinshnu, P. (2014). Integrating Big Data in Aviation Industry. Journal of information technology. (5)4: 2-9
1. Increase awareness of Volvo Trucks and its VN Series, including the Volvo 770 and the company’s Volvo Trucks Super Bowl spot.
Many of the incipient ideas in cloud computing are not exactly new (in fact, it was as far back as 1965 that Western Union dreamt up the future role of the company as a nationwide “information utility” as part of the company's strategic plans which have led several observers such as Oracle's CEO Larry Ellison to declare the whole concept as a product of hype (C. Boulton, 2009).
Installed systems inside vehicles have become a process of differentiation to understand customers looking for cars with more than just the ability to transport people from one point to another. Introducing of information systems inside vehicles has enabled manufacturers to provide their customers with extra functionality, by means of improving the desirability of the the product towards satisfying customers and at the same time enabling new business style and models through the supplying of efficient services to customers. And this changes the existence of competition in the automobile industry
For the past couple of decades the majority of businesses have wanted to construct a data-driven organization or company. Furthermore, companies around the world are considering harnessing data as a basis of competitive advantage over other companies. As a result, business intelligence and data science use are popular in many organizations today. The increase in adoption of these data systems is in response to the heavy rise in communications abilities the world over. Which, in turn ,has increased the need for data products. Indeed, the Data Scientist profession is emerging to be one of the better-paying professions due to the urgent need of their labor. This paper is going to discuss what business intelligence is all about and explain data science that is usually confused to be similar to business intelligence. I will tackle a brief overview of data scientists and their role in organizations.
...tecture for scalability and availability as the public cloud but is restricted to a single organization.