Volvo has prided itself on its safety standard and adding features to cars before other in the industry such as anti- lock brakes, collapsible steering columns, front and rear crumple zones, energy-absorbing bumpers, side-impact protection systems, and three-point seatbelts. (Teradatamagazine.com, 2010) They have managed this by collecting extensive amount of data from the onboard computers in the vehicles. To do this Volvo had to find a way to integrate all its data from diagnostic readout, design and warranty so they could understand how the care performed in real-life driving conditions. They did this by gathering all the data and consolidating it into an Enterprise Data Warehouse. This allowed for the varies division within Volvo to have a the same comprehensive view of the data from cars available as well as access to analytical tools to better ensure quality and safety for its customers. Such changes as these along with incorporating services from Microsoft such as Microsoft SQL Server 2012 Business Intelligence data management software show how Volvo integrated the cloud infrastructure into its network. (Microsoft.com, 2010)
Volvo transforms data into knowledge by gathering the data from the vehicle and hardware specifications, software and functional specifications, vehicle diagnostics and warranty claims to see what triggered a malfunction or to see if the car responded and or protected the user properly in an accident. Volvo has over four- hundred measurements collected throughout the system of its vehicles so if an error code is generated or any type of malfunction occurs they are more likely to track it to the source and fix the problem and possible prevent it from occurring in the future. If the problem is a part is...
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Works Cited
Microsoft.com. (2010). Microsoft case study: microsoft sql server 2012 business intelligence - volvo car corporation. [online] Retrieved from: http://www.microsoft.com/casestudies/Microsoft-SQL-Server-2012-Business-Intelligence/Volvo-Car-Corporation/BI-Solution-Boosts-Operational-Efficiency-and-Reduces-Costs-at-Volvo-Car-Corporation/710000000271 [Accessed: 26 Jan 2014].
Teradatamagazine.com. (2010). Teradata magazine online | article | data in the driver's seat. [online] Retrieved from: http://www.teradatamagazine.com/Article.aspx?id=14098 [Accessed: 26 Jan 2014].
Thebigdatainsightgroup.com. (2012). Teradata case study: a car company powered by data | the big data insight group. [online] Retrieved from: http://www.thebigdatainsightgroup.com/site/article/teradata-case-study-car-company-powered-data [Accessed: 26 Jan 2014].
Huffman Trucking has recently hired a consultant company, Smith Systems Consulting, to design a database that will enable Huffman Trucking to better organize and track the truck maintenance for their fleet. Smith Systems Consulting has done an analysis of Huffman Trucking to develop a basic plan for integrating information into a database. Entities and attributes have been defined by Smith Systems, but the relationships and tables of the database still need to be defined.
Data Analytics has significantly grown in less than two years, this quick growth has caused the company to evaluate the IT environment and its ability to support the growth and secure the data of the company. The CEO is expecting the company to grow 60% over the next two years; with the success of the company it has been determined that a change to the current IT environment and infrastructure must occur to better support the employees and the customer base.
The nurse executive is responsible for budget planning for the division. Areas of focus include strategies to improve productivity and feasible tactics to reduce agency staff and overtime (OT) for the division. Identified in this paper is the importance of operational and financial performance indicators for the organizations internal goals. Focus on benchmarking through data analysis is vital. In addition, setting realistic goals that are compulsory to promote cost savings, while maintaining patient safety as a priority is important in creating an improved patient experience. In planning for modifications to obtain a favorable budget, adjusting full time equivalents (FTEs) to fluctuating volumes is important. To improve the productivity plan effectively are evaluation and management of scheduling, staffing, and skill mix are necessary to obtain favorable productivity.
This case study is based on Piaget’s theory of Cognitive development. Piaget's theory of cognitive development is a comprehensive theory about the nature and development of human intelligence that is based mainly off of age, and was first developed by Jean Piaget. I will be testing this theory out on a six year old boy who I will call “Jordan.” I will be checking to see if Jordan falls in to the Preoperational stage of Cognitive development which ranges from age 2 until approximately age 7 and if he is in transition to Concrete Operational stage which ranges from age 7 until about 11 years. The following questions will be answered: Does he interpret language literally? Does he understand conservation? Does he think of things in terms of his own activities? Does he solve problems by pretending or imitating? Does Jordan have approximately 2000 words in his vocabulary?
GM is already producing the technology catering to the autonomous driving system in instalments as each new car produced, displays a prototype of a sophisticated “assisted driving” feature. Drivers of the Cadillac ATS sedan, a mid-sized car with a driver assistance, can now leave it to drive itself and maintain a safe distance in steady traffic. It can also measure a parking space and steer itself into it, read traffic signals, and warn the driver if he breaks the speed limit. Emergency brakes that overrule the driver’s actions in the case of an accident, add to special features that will be seen in automatic cars.
So after few months, the CEO of Tesla announced to improve Autopilot. From the CNN news, one article called “Tesla: Autopilot improvement coming” talks about Tesla will come out a new system to prevent the risk of crashing when drivers use Autopilot. “Tesla will roll out “major improvements” to its so-called Autopilot software with new versions of the software that will soon be download to owners’ Model S and Model X electric vehicles, CEO Elon Musk said Wednesday on Twitter.” I think the company is expanding and updating the information technology. The new system may improve the stability and operation of Tesla vehicles but the system still can’t confirm there will not happened the accident again. If these technology systems are not successful, the business and operation could be disrupted and the operating results could be harmed. Because the new system support the company to produce new vehicles in the future, which management time, cost, data experiment, and so on. If the company can’t figure out the problem of Autopilot or other technology problem, these risks may affect us to report financial statement accurately and
For TWR, I architected and delivered scalable robust Business Intelligence platform to perform analytics on terabytes of retail data gathered from various resources incorporating convoluted security requirements.The platform was the most extensively used application by TWR executives, sales and marketing professionals
“A delayed software response of as little as one tenth of a second is likely to be hazardous in traffic” (Shladover 5). Computers must take time to process the situation. While the computer processes, the environment around it continue to change making it easy for accidents to happen. “An (AV) will have to track dozens of other vehicles and obstacles and make decisions within fractions of a second. The code required will be orders of magnitude more complex than what it takes to fly an airplane” (Shladover 5). The computers require massive code which takes more time and money. A code that makes decisions that complex takes years to write. Proving that the AV meets proper safety takes a couple more
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.
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.
A data warehouse comprised of disparate data sources enables the “single version of truth” through shared data repositories and standards and also provides access to the data that will expand frequency and depth of data analysis. Due to these reasons, data warehouse is the foundation for business intelligence.
...g system that supports the scalability of their data. The following is their input on their new proposal to create a new operational insight tool in order to provide a solution to their challenge:
Car maintenance has been, and is still one of the major concerns when it comes to safety on the roads. This is because poor maintenance may cause car system to fail, which may result in road accidents. Before a car can be released at the assembly line, it passes through several inspection processes in order for it to be considered roadworthy. Once one buys a car, they should ensure that they maintain its roadworthiness status. However, this can be hard since several components in the car’s system degrade over time due to several factors such as the changes in usage conditions. This is where vehicle maintenance in terms of predictive, preventive and corrective maintenance comes in. It is important for car owners to have basic vehicle maintenance
Prior to the start of the Information Age in the late 20th century, businesses had to collect data from non-automated sources. Businesses then lacked the computing resources necessary to properly analyze the data, and as a result, companies often made business d...