Operations In the transportation industry such as airport‚ train‚ or ships there are many vulnerabilities that can be faced if security measures are not foreseen. These industries can be victims of sabotage‚ espionage‚ or lack of security process which would result in the industry loss of product. Sabotage such as terrorism will exist in transportation industries if the operations of the merchandise are not carried out to protocol. Espionage from competitor transportation industries can leak the company’s
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Saboteur The short story "Saboteur"‚ written by Ha Jin exposes a social problem of China: the consequence of Culture Revolution on people’s life. How the faithful educated scholar becomes a merciless assassin. Who is the real Saboteur‚ Mr. Chiu or policeman? Through the author’s skillful description‚ we are able to understand the theme of the story is revenge. And “Saboteur” is irony. The setting of a story has a ponderous influence on our perception as it often justifies a character’s behavior
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Networks Volvo utilized data mining in an effort to discover the unknown valuable relationships in the data collected and to assist in making early predictive information. It created a network of sensors and CPUs that were embedded throughout the cars and from which data was captured. Data was also captured from customer relationship systems (CRM)‚ dealership systems‚ product development and design systems and from the production floors in their factories. The terabytes of data collected was streamed
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Secondary data refers to the data which an investigator does not collect himself for his purpose rather he obtains them from some other source‚ agency or office. In other words‚ this data has already been collected by some other source and an investigator makes use of it for his purpose. Secondary data is different from primary data on the basis of the sources of their collection. The difference between the two is relative - data which is primary at one place become secondary at another place.
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discussed and all concluded that data analysis methods help us understand facts‚ observe patterns‚ formulate explanations‚ and try out the hypotheses. Not only does it help us understand facts‚ but they we also discovered that data analysis is used in science and business‚ and even administration and policy-making processes. We’ve found out the data analysis can be carried out in all fields‚ including medicine and social sciences. Once an analysis is conducted the data that is carried out is documented
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Big Data which companies are easily able to collect from their businesses‚ customers and employees. It explains the numerous advantages of using the data collected by companies effectively so that it can be used by the company in improving its efficiencies‚ sales‚ faster and quicker turnaround which in turn would lead to increase revenues and finally increased profits (which is what the stakeholders of the company are looking for).It illustrates the prominent fact that companies that are data-driven
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when promised‚ it may be delivered late or too slowly‚ the outcome may be incorrect or poorly executed‚ or employees may be rude or uncaring (Zeithaml and Bitner‚ 2009). But there also exist another reason for service failure - employees who can sabotage the service brand through their performance at the front line (Wallace and de Chernatony‚ 2009). Contact employees who willingly perform badly and actively work against the brand. The misbehavior which deliberately causes a poor service experience
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Big Data Management: Possibilities and Challenges The term big data describes the volumes of data generated by an enterprise‚ including Web-browsing trails‚ point-of-sale data‚ ATM records‚ and other customer information generated within an organization (Levine‚ 2013). These data sets can be so large and complex that they become difficult to process using traditional database management tools and data processing applications. Big data creates numerous exciting possibilities for organizations‚
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Big Data In It terminology‚ Big Data is looked as a group of data sets‚ which are so sophisticated and large that the data can not be easily taken‚ stored‚ searched‚ shared‚ analyzed or visualized making use of offered tools. In global market segments‚ such “Big Data” generally looks throughout attempts to identify business tendencies from accessible files sets. Other areas‚ exactly where Big Data continually appears include various job areas of research for example the human being genome and also
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Big data describes innovative methods and technologies to capture‚ distribute‚ manage and analyze larger-sized data sets with high rate and diverse structures that conventional data management methods are unable to handle. Digital data is now everywhere—in every sector public or private‚ economy‚ organization and customer of digital technology. There are many ways that big data can be used to create value across sectors of the global economy. It has demonstrated the capacity to improve predictions
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