Business Intelligence System-Free-Samples for Students-Myassignmenthel

Question: Dicuss about the Importance of Big Data and Big Data Analytics Supply Chain and Operations Management. Answer: Introduction Business intelligence is considered as ability of an organization in order to make meaningful utilization of data that is collected in the course of day-to-day operations in business. In addition, the business intelligence act a crucial role in enhancing performance of an organization through addressing new opportunities as well as highlighting possible threats and revealing new business insights along with improving the process of decision making. The report explores importance of big data and big data analytics supply chain and operations management. In addition, data collection and storage, data in action and business continuity are discussed in the present study. In the present study, HotelSpecial has been selected to use business intelligence using big data in order to manage supply chain and operation management effectively. Data Collection and Storage With the assistance of these fast improvements more organizations are moving their concentration to investigating and exploring the data of the organization. This marvel is called "Big Data" and is recognized on the developing innovation buildup cycle as one of the greatest IT patterns of the most recent couple of years (Wixom et al. 2014). Since Big Data is as yet a trend, individuals utilize Big Data as catch-phrase to explain the enormous amount of data that is excessively troublesome, making it impossible to process by a conventional database or conventional programming methods. In this perspective, it is important to use Big Data and Big Data Analytics to minimize the issues. Data collection system In the present scenario, the organization faces issues with the added value of Big data. Howevr, as the aim of the organization has aims to capture and store as well as analyze data and increase performance of the organization through making more decisions based on data (Gandomi and Haider 2015). The understanding of clients expanded after shopping moved on web. Since the mid of 2000s, the World Wide Web started to offer one of a kind information gathering techniques. Online shops cannot just track the things that purchased by customers, additionally how the clients can be explored by online-shop; the client took a gander at and the process of affecting by format of page as well as if the client is tapped are on the process of advancement connection (Kim et al. 2014). There are 38 percent of organizations in Australia still gripe of an absence of convincing business cases. This number is high, particularly given the measure of scope enormous information gets in the IT and business me dia. Online-shops are capable to lead A/B testing. In the test taking the factual distinction on several measurements of making conduct of the client with adapting A and rendition B. Organizations that are conceived computerized and that can make an incentive from information that can accomplish upper as well as conventional enterprises (Sharda et al. 2013). Conventional retailers retailer cannot get this sort of data not mentioning to follow up in an auspicious way. Data collection system is considered important for the organization. The method toward managing big data is extremely not exactly the same as dealing with conventional information. There are different techniques utilized by the organizations likewise as there such a significant number of utilizations of big data in dustries. In addition, Big Data is deals with at different stages, specifically, gathering, securing, dealing with, analyzing with a goal of disentangling supportive encounters profitable to settle on business decisions. An expedient elucidation of these stages is described as followed. Collecting data: This stage incorporates collection of data from a couple of sorts of data sources, data bazaars, and data stockrooms. Data Organization: This stage incorporates arranging and engineering the data on the preface of composed, unstructured and semi-unstructured data which is definitely not hard to get to and separate. This data can be gotten to using immense data progresses, for instance, NoSQL, Hadoop Distributed File System (HDFS). With the help of these three steps, HotelSpecials collect data based on big data and business intelligence system. Storage system Storing of information in HotelSpecials incorporates securing the data into appropriated database structures and servers. The data is secured in such a route, to the point that for every data set away, the fortification is in the meantime made (Fan et al. 2015). In addition, the stage incorporates setting up the physical establishment or setting up cloud for data accumulating. The key prerequisites of big data storage are dealing with a lot of information as well as scaling to in order to stay aware of growth, so that the process can provide the input/output operations in every second (IOPS), which is considered as very important for conveying convey information to the devices of investigation. The biggest enormous information professionals like Google, Facebook, and Apple. These are recognized as hyperscale computing environments. The process involves tremendous measures of the item servers that are attached with direct-attached storage (DAS). In addition, redundancy is involved at the level of whole storage unit as well as unit endures that has outage of the parts supplanted, having just failed to its mirror. The environments run on making semblance of Hadoop, NoSQL as well as Cassandra as engines of analytics, and normally the systems have PCIe flash storage sytem in the server or notwithstanding plate to slice stockpiling dormancy to a base. There's no mutual storage in this kind of design. Hyperscale computing environments have been the safeguard of the biggest online operations to date. On the other hand, it is very likely that the structures will step down into more standard ventures in the coming years (Wu et al. 2014). Thus, instead of utilizing a warehouse for storing as well as processing large data quantities, Hadoop is utilized as well as data moves to the organization warehouses for different applications. For example, Wells Fargo and Citi have adopted Hadoop with the present analytics storage and processing capabilities (Chen and Zhang 2014). In this perspective, it is possible that cloud as well as Hadoop continue to lend helping hand to the enterprises wanting to manage big data. Thus, it is important to use big data analytics in suppy chain management and operation management system in order to store high volume of data. Data in Action It is important for HotelSpeicals to remove to get more value out of the available information with the assistance of Big Data is to make worthy meaning of Big Data. Since respondents said two sorts of definitions, it can expend a great deal of time however can likewise make perplexity for all offices. In expansion, getting one meaning of Big Data does not imply that an association needs to pick between utilizing Big Data Analytics or Big Data as an empowering agent of counterfeit consciousness, self-learning programming, and more intelligent calculations (De Mauro et al. 2015). The objective of this initial step ought to be to make greater lucidity and get free of the tag "buzzword". In the subsequent stage an organization should take to get more an incentive out of getting the information that can accessible with the help of Big Data is to prepare workers about the capacities of Big Data. As delineation, it can be specified that this procedure begins with instructing the workers all through the entire association. For instance, if the IT division is making a new calculation to enhance the organizations constant promoting offering framework, the office will require the assistance of the promoting division (Riggins and Wamba 2015). Notwithstanding, if the two offices have an alternate training level of Big Data it could prompt disappointment and furthermore to a wasteful calculation. The particular occupation is quite recently changing and the representative needs to adjust and cooperate with the programmed calculation. It is essential to see it along these lines, on the grounds that the contenders will change and after that the worker needs to fight versus a programmed calculation of a contender (Valacich and Schneider 2015). In order to use the data of the organization in maintaining effectiveness in supply chain and operation management system, it is essential to use the data effectively. Consumer-centric product design Customer centric is one of the methods for business focusing the customers in a way that provides positive experience for customers previously, and then after the sale keeping in mind the goal of the enterprise is to drive repeat business, customer loyalty as well as profits With the help of customer centric approach, HotelSpecials can offer good service. Amazon and Zappos are the prime cases of brands following customer centric approach and give investment several years making a culture for customers as well as requirements. Dedication in conveying customer value is authentic. Zappos is upbeat to terminate workers in the event that they don't fit inside their customer centric culture (Spiess et al. 2014). The significance of being customer centric approach keeps on developing in HotelSpecials. Econsultancy as of considered what the most vital characteristics are keeping in mind the goal to set up a genuinely "digital-native" culture. The response to that inquiry and driving the reactions with 58% was to be customer centric (Vera-Baquero et al. 2013). Customer centricity is not just about offering awesome client benefit, it implies offering an incredible ordeal from the mindfulness arrange, through the obtaining procedure lastly through the post-buy process. It's a procedure that depends on putting the customers to begin with, and at the center of the business. Expanding the rates of occupancy as well as revenue improving customer experience considered as the point of modern hospitality enterprises. In order to accomplish the outcomes, managers of HotelSpecials need profound information of customers needs, conduct, and inclinations and understand regarding the process that the administrators for the clients and afterward empower their maintenance and steadfastness. It is all around archived that Big Data could enable retailers to understand clients as well as stakeholders involved in the operation of the organization, it is required to achieve new income streams and even lift customer organization through on-time, area based impetuses and offers (Lee et al. 2014). It is required to understand through which it would influence the fate of retail. As the Internet of Things or IoT turns into a thing, an ever increasing number of retailers would empower their physical shops with sensors that can distinguish when a close-by customer has the application introduced on their gadget, regardless of whether it is a wireless or tablet. The application could then convey auspicious offers and impetuses to enable offer more items, to acquaint customers with new items they might not have known about or seen. Obviously, this is just a single of the many employments of the IoT, yet it would be an effective one for retailers (Lee et al. 2014). For the entire flourish about web-based social networking information, retailers will get more futile gab rather than genuine information. With better information investigation, retailers could sift through all the futile commotion and home on genuine information wherein it applies to what they need to know in regards to their clients, the impression of the general population of the brands and the way individuals react to the items. Thus, big data and analytics can be helpful for HoteSpecials to manage the stakeholders involved in the supply chain and take appropriate actions against the issues. Recommendation system As supply chain and operation management system is considered as important aspects for an organization, it is required to process effective system for the organization. HotelSpecials need to plan products based on the demands of customers with the help of big data analytics and intelligence system (Assuno et al. 2015). In addition, sourcing raw materials as well as components or parts are required to implement effectively. On the other hand, delivering the products effectively to customers would be useful for the organization. The outcomes with respect to Big Data, Business Intelligence, and Decision Making can be useful to provide recommend system for the organization. However, Big Data is still considered as another subject and research range. For instance, many people think that Big Data is just a buzzword. In order to counter this, HotelSpecial need to set a reasonable meaning of Big Data (Chen et al. 2014). Furthermore, there are diverse abilities of Big Data since it is considered Big Data as another subject and research region. In the writing, Big Data, Business Intelligence, and Decision Making are considered as three emphatically related look into ranges. Notwithstanding, in view of the respondents two streams are recognized. The main stream is individuals without foundation of information technology, similar to PC science or building program, contend that Big Data can be addressed with Business Intelligence (Abbasi et al. 2016). Moreover, decision making and the second stream are respondents with an IT foundation that see Big Data as an empowering influence of computerized reasoning, self-learning programming, and more astute calculations. HotelSpecial could begin with Big Data, Business Intelligence as well as Decision Making by: (i) selection of test office with liberal and information well disposed chief (ii) recognizing and choosing close to five open doors that can be settled with Big Data inside five weeks (iii) beginning a development procedure with the accompanying strides: experimentation, estimation, sharing, and replication (iv) and if conceivable, convey some expository difficulties on their Big Data to outsiders (Katal et al. 2013). Also, the outcomes demonstrate that an association needs to: (v) preparation of workers regarding capabilities of Big Data (vi) starts with Big Data as well as find out related to Big Data apparatuses while actualizing and utilizing them (vii) develop rundown of all Big Datum instruments that encounters the Distraught necessities (viii) pick the correct apparatus that fits the reason of the association (ix) and don't focus on creation of more quick witted Big Data frameworks or more astute Big Data calculations than the contenders. Building further upon this, the outcomes additionally show that if an association begins with Big Information, Business Intelligence, and Decision Making the association ought not supplant their present stages. Associations should utilize it as an expansion for scientific questions that need a ton of information inside seconds or minutes. Business continuity Big data analytics has turned into a basic for pioneers of business over every segment of industry. Analytics applications convey competitive advantage in supply chain decision spectrum. While several organizations have used for separating the new bits of knowledge as well as develop new types of important worth. In addition, distinctive organizations seem to use big data in order to change their store operations of network. Thus, it is important for the organization utilizes big data analytics for driving supply chain and offers structure to execute in learned lessons. On the other hand, the scale, degree as well as profundity of data supply chains are developing. These are quickening, giving adequate informational indexes in order to drive logical insight. The accompanying realistic can provide diagram of 52 unique sources of big data that are created in supply chains (Bello-Orgaz et al. 2016). In addition, forward thinking manufacturers are taking a gander at enormous information as an impetus for more noteworthy joint effort. Big Data is changing how provider systems shape, growth, multiply into several markets as well as develop after some time (Xiang et al. 2015). Exchanges are not the major learning sharing systems, depends on the bits of knowledge that are picked up from big data analytics. Conclusion It can be summarized from the above discussion that big data and business intelligence system has an important role for improving the business by getting competitive advantages. However, the present labor market has a deficiency of qualified professionals around there. This issue is not provincial in organizations about detailed comparable grievances. The rates for deficient logical and specialized know-how are around 50 percent in the two areas. Despite the fact that organizations might need to make occupations around there, they won't not have the capacity to fill them because of the absence of appropriate hopefuls on the work advertise. This moves the concentration towards preparing existing staff. Hence, it is required to take proper actions to minimize the issues. Information protection and security likewise rank high on the rundown of difficulties for organizations. The high data set on data privacy is not shocking considering that many utilize cases rotate around customers. As investigations fixate considerably more on clients, organizations should concentrate significantly harder on information to ensure customers security. That implies expound procedures should occur before the real investigations start. The substance, specialized usage and legitimate issues identified with these procedures all posture significant difficulties for organizations today. With regards to big data privacy, information security is likewise a noteworthy issue and requires effective action in the organization. Big data can include business-critical learning. New issues can likewise emerge in getting to new frameworks. Producers, for instance, respect anything getting to their machines to catch ma chine information with doubt. The reason is that these machines contain programs that are fundamental for operations and must be secured as basic protected innovation References Abbasi, A., Sarker, S. and Chiang, R.H., 2016. Big Data Research in Information Systems: Toward an Inclusive Research Agenda.Journal of the Association for Information Systems,17(2). Assuno, M.D., Calheiros, R.N., Bianchi, S., Netto, M.A. and Buyya, R., 2015. Big Data computing and clouds: Trends and future directions.Journal of Parallel and Distributed Computing,79, pp.3-15. Bello-Orgaz, G., Jung, J.J. and Camacho, D., 2016. Social big data: Recent achievements and new challenges.Information Fusion,28, pp.45-59. Chen, C.P. and Zhang, C.Y., 2014. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data.Information Sciences,275, pp.314-347. Chen, M., Mao, S. and Liu, Y., 2014. Big data: A survey.Mobile Networks and Applications,19(2), pp.171-209. De Mauro, A., Greco, M. and Grimaldi, M., 2015, February. What is big data? A consensual definition and a review of key research topics. InAIP conference proceedings(Vol. 1644, No. 1, pp. 97-104). AIP. Fan, S., Lau, R.Y. and Zhao, J.L., 2015. Demystifying big data analytics for business intelligence through the lens of marketing mix.Big Data Research,2(1), pp.28-32. Gandomi, A. and Haider, M., 2015. Beyond the hype: Big data concepts, methods, and analytics.International Journal of Information Management,35(2), pp.137-144. Katal, A., Wazid, M. and Goudar, R.H., 2013, August. Big data: issues, challenges, tools and good practices. InContemporary Computing (IC3), 2013 Sixth International Conference on(pp. 404-409). IEEE. Kim, G.H., Trimi, S. and Chung, J.H., 2014. Big-data applications in the government sector.Communications of the ACM,57(3), pp.78-85. Lee, J., Kao, H.A. and Yang, S., 2014. Service innovation and smart analytics for industry 4.0 and big data environment.Procedia Cirp,16, pp.3-8. Riggins, F.J. and Wamba, S.F., 2015, January. Research directions on the adoption, usage, and impact of the internet of things through the use of big data analytics. InSystem Sciences (HICSS), 2015 48th Hawaii International Conference on(pp. 1531-1540). IEEE. Sharda, R., Delen, D. and Turban, E., 2013.Business Intelligence: A Managerial Perspective on Analytics. Prentice Hall Press. Spiess, J., T'Joens, Y., Dragnea, R., Spencer, P. and Philippart, L., 2014. Using big data to improve customer experience and business performance.Bell Labs Technical Journal,18(4), pp.3-17. Valacich, J. and Schneider, C., 2015.Information Systems Today: Managing in a Digital World Plus MyMISLab with Pearson eText--Access Card Package. Prentice Hall Press. Vera-Baquero, A., Colomo-Palacios, R. and Molloy, O., 2013. Business process analytics using a big data approach.IT Professional,15(6), pp.29-35. Waller, M.A. and Fawcett, S.E., 2013. Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management.Journal of Business Logistics,34(2), pp.77-84. Wixom, B., Ariyachandra, T., Douglas, D.E., Goul, M., Gupta, B., Iyer, L.S., Kulkarni, U.R., Mooney, J.G., Phillips-Wren, G.E. and Turetken, O., 2014. The current state of business intelligence in academia: The arrival of big data.CAIS,34, p.1. Wu, X., Zhu, X., Wu, G.Q. and Ding, W., 2014. Data mining with big data.IEEE transactions on knowledge and data engineering,26(1), pp.97-107. Xiang, Z., Schwartz, Z., Gerdes, J.H. and Uysal, M., 2015. What can big data and text analytics tell us about hotel guest experience and satisfaction?.International Journal of Hospitality

Business Intelligence Digital Technology Service Industry

Question: Discuss about theBusiness Intelligence for Digital Technology Service Industry. Answer: Reasons Make It Work Inc. implemented the business intelligence project with the aim of assessing its business processes and identifying issues that need to be addressed. The project was also intended to enable the company to identify and leverage opportunities available to expand its growth. As the companys customer base increased, the management focused on becoming one of the largest companies serving consumers in the digital technology service industry. To realize this goal, the goal had to build a strong brand appeal and spread brand awareness among the target consumers. Make It Work had to determine various issues affecting its business processes and operations and resolve to mitigate their effects. Additionally, the company had to identify emerging opportunities and tap them to enhance the companys competitive advantage and attract more customers. Make It Work realized the business intelligence project could enable it to track various key aspects that defined the companys image. Through the project, the company could determine issues that affected its services. It could track various key performance indicators (KPI) that indicated the companys performance and issues affecting its operations. The company could also assess performance metrics to determine levels of customer satisfaction and other performance measures. Besides assessing the companys performance, a business intelligence project could evaluate sales made and other financial measures relevant to the companys growth. Tracking these metrics was important for the company as the management wanted to continuously evaluate its financial performance as it expanded business operations to ensure its services satisfied its customers. Make It Work focused on developing a strategy that could support early detection of issues that required to be addressed in time to mitigate their effects on the company operations. By collecting information such as customer reviews, the company could determine levels of customer satisfaction and quality of services offered. By leveraging a business intelligence project, the company could track issues affecting the company and categorize them based on the risk they posed which would ensure that they were resolved in an appropriate manner. This would be critical in enhancing the companys responsiveness to emerging issues. For the company, adopting the business intelligence project implied that its IT capabilities would be improved as it could become more flexible to dealing with dynamics of the business environment as well as improving its responsiveness to threats and opportunities. The company also sought to implement the project to enhance teamwork among employees which would be key in improving productivity and output. Outcomes Make It Work has significantly improved its operations and customer satisfaction after implementing the business intelligence project. The project allowed the company to leverage its core competencies to improve business processes. Its business operations have become customer-oriented which has played an instrumental role in satisfying the companys customers. Through the project, the company has been able to use information obtained to identify issues affecting its financial performance and customer satisfaction. This has been instrumental in enabling the company management to resolve such issues in time. For example, customer service agents can detect issues with service quality and connect with customers to identify the issue. As such, they can make informed decisions in tackling the service to improve customer satisfaction. This has been key to improving performance and service delivery as some processes can be completed within a short time. The project has also enabled the compan y to collect and review feedback from customers. With its augmented IT capabilities, the company can assess customers reviews and rating score to determine the performance of the company and the brand perception of the target customers. Business intelligence project has been key in assisting the company in assessing the data it collects. With the project, Make It Work can calculate key performance indicators in relation to customer satisfaction and financial performance. The project incorporates constraints which trigger alerts if issues are noted. For example, when the rating score drops below 3.8 the system sends alerts such as emails to the relevant stakeholders which enables the problems to be discovered and resolved. By continuously tracking customer feedback, the company has become effective in determining issues that may be undermining service delivery. This allows the company to quickly respond to the issues by implementing remedial actions to improve customer satisfaction and enhance brand image. By leveraging on the project, Make It Work has gained the capability to deliver an excellent customer service which has enabled the company to attract more customers and encourage repeat purchases. As a result, the companys sales and revenues have continuously grown as its loyal customer base increases. The business intelligence project implemented has enabled the company to improve teamwork in the company aimed at improving the quality of service delivered. Through the project, the company can maintain communication with the staff and interact with them to ensure their performance meets the companys objectives. Additionally, the project enables the company to gain a better understanding of customer purchasing habits as the company can analyze data in the customer database. This enables the company to align its services with customer needs and make its processes customer-centric. Through the project, Make It Work has gained the capability to track sales data and analyze it to determine its financial performance. The project provides features that analyze sales data and identify the growth rate of the company. This has allowed the company management to manage its operations to reduce operation costs and improve its competitive advantage. As an integral component of the companys IT system, the business intelligence project has played a paramount role in enhancing business processes by supporting data analysis which has improved the companys capability in detecting and resolving problems. Additionally, the companys responsiveness has increased as it can quickly prioritize and address issues. Through the business intelligence project, Make It Work has improved customer experience which gives the company a competitive edge in the market. The project has been instrumental in increasing company growth in terms of sales and customers as it has enabled the company to improve the quality of service offered. The company has also gained recognition in its industry due to its quality service and has forged relationships with various companies.

How to Use CompareContrast Essay Samples

How to Use CompareContrast Essay SamplesCompareContrast essay samples are a great resource when it comes to writing essays. This is because students use these samples to get some idea of how a specific topic will be presented to them. They are also great for helping students learn how to write more effectively. The following are some tips that can help you find the best compare contrast essay samples and figure out how to improve your own writing.The first thing that you need to do when comparing a sample is that you need to have some idea of what the sample is going to look like. This means that you need to study the sample and see if it looks similar to what you would be writing in your own essay. You want to make sure that you think about how the sample would be formatted and you want to look at how the content of the essay will go.The next thing that you want to do is to find the sample that is going to provide you with the most information. You should look at the text and see if it is going to provide you with enough information to fully understand the topic of the paper. You do not want to find a sample that provides you with too much information and this means that you should look for a sample that is able to give you the most information that you need. In most cases, the first three to five minutes of the sample is going to provide you with the most information. After this, you should move on to looking at the structure of the sample.This means that you should read over the comparison process and see if there is any type of format that you feel does not work or that makes the research look like it is not informative. You should be careful about the format, because this can be one of the determining factors in whether the student gets the information that they need or not.As you look at the compare contrast writing samples, you will see that some will use short paragraphs and others will use longer paragraphs. You want to remember that your essay is goin g to be based on what information that you provide so you want to make sure that the information is contained in the short paragraphs. However, you also want to make sure that the paragraphs are long enough that it will give you enough information to answer your question.You also want to look at the format of the compare contrast. Some of the compare contrast applications are going to be just going to write in a simple word document but others will be providing you with a PDF or some other type of file. Since you will be working on a computer, you want to make sure that you are going to be able to read the compare contrast essay samples on a computer. Otherwise, you might want to turn the compare contrast application off or find a different application that is going to help you get the information that you need.When it comes to using compare contrast, you should be able to use this product to help you get the information that you need and then also be able to provide your reader wit h the answers that they need. You want to make sure that you include the correct spelling and punctuation in your writing. You also want to make sure that the information that you are giving is relevant to what the essay is trying to get across.There are several good help tools that you can use to help you with your compare contrast writing assignments. Remember that there are plenty of different help tools that are available and you should be able to find the best help that you need for these help tools.

Section 1 Essays - Progressive Party, Muckraker, Literacy Test

13 Section 1 1. Looking Backward- Novel that made socialism seem like an attractive alternative to the current industrial society. Wobblies- Labor union made by Debs and De Leon. Ida Tarbell - Famous women muckraker. John Dewey- Argued that the value of government actions should be measured by the good they do. Oliver Wendell Holmes- Wrote that the law should not be an absolute set of principles but a tool to meet the needs of society. Muckrakers- Journalists who dug up the mud on a topic. 2. Social gospel- Theory that the church should work to improve society. Pragmatism- Approach to problem solvings that questioned the truth of science. 3. A. Corruption in city government. B. Corrupt business C. Child labor D. Racial discrimination E. Railroads domination of wheat farmers Section 2 1. Gallveston- Costal town that was hit by a massive big juicy hurricane. 17th ammendment- Gave women right to vote. Charles Evans Hughes- Lawyer who uncovered the bribery and huge salaries Payed to family members in the insurance industry. Upton Sinclair- wrote a book called The Jungle that uncovered the unsanitary conditions of the meat processing industry. Muller Vs Oregon- Case that argued that working long hours damaged a womens Health. John Spargo- Wrote a book that depicted the horrible working conditions in child labor. WCTU- Union formed by christian women to enforce temperance. 2. direct primary- Preliminary election where voters vote for who will run for office. Initiative- Allowed a group of citizens to introduce legislation. Referendum- Allowed approved legislation to be submittedto the voters for approval. Recall- Allowed voters to remove an official from office. 3. The food and drug administration, the WCTU and the muckrakers all helped the country become a better place by creating new and trying to enforce old laws to make the USA a less corrrupt and more sanitary place to live and work. Section 3 1. Plessy Vs Ferguson- Case in which the supreme court ruled that segregation was constitutional as long as separate facilities were equal. Booker T Washington- Founded the Tuskagee institute to teach blacks a vriety Of traits. W.E.B. Duboise- Editor of the NAACP's magazine called ?the crisis?. 2. literacy test- Test taken by immigrants to prove that they could read english. 3. Some progressive reforms worked to limit the political power of immigrants by working to get congress to establish laws that would require immigrants to take literacy tests in order to vote. Chapter 14 Section 1 1. Pierpont Morgan- Owned a banking firm that indirectly controlled the Anthracite mines. Expedition Act- Act that supported expeditions to conserve the natural resources. Forest Reserve Act- Act that more than tripled the amount of land set aside for national forests. Hepburn Act- Act that abolished the free pass that the railroad corporations granted to politicians and other important people. Square Deal- A belief that all people have an equal opportunity to succeed through strong personal ethics. 2. Conservation- The planned preservation of natural resources to prevent destruction or neglect. 3. Roosevelt preferred regulation to trust busting because regulations left the honest companies alone and trust busting did nothing to prevent monopolies. Section 2 1. Payne Aldrich Tariff- Tariff that contained high duties on iron ore, coal, and Coal. Richard Ballinger- Reopened for private purchase some of the lands withdrawn while Roosevelt was president. Joeseph Cannon- Anti conservationist who used his power to delay national parks. New Nationalism- A new set of policies declared by roosevelt. The Insurgents- A group of progressive republicans. 2. income tax- Taxes on the income of citizens. 3. A. He didn't want to be president B. He didn't dramatize issues to gain the public's support. Section 3 1. Bull Moose Party- A nickname for the progressive party. New Freedom- Philosophy that viewed monopolies as enemies of free competition. 2. Inheritance Act- Tax on a persons inheritance. 3. Roosevelt left the republican party and formed the progressive party because the progressive party demanded reform and a visible government, rather than an invisible government and a country ran by buisness. Section 4 1. Underwood tariff- Represented the first substantial drop on import duties since 1857. Federal Reserve board- Had over all power of federal banks. Federal trade commision- Commission that regulated and investagated business practices. 2. Rediscount- A small fee paid to the federal reserve by other banks. Price cutting- Where a company deliberatley sells goods at a loss to eliminate competition. Interlocking directorate- Where the same people direct

Free Essays on Friday Night Lights

The name of the author who wrote this very interesting book, â€Å"Friday Night Lights,† is H. G. Bissinger. Bissinger was a newspaper editor in Philadelphia, after a while he went to Oddessa to meet the members of the 1988 Permian Panther football team. Incredibly enough for the next four months he was with them through every practice, meeting and games. It was almost as if he joined the team, because he was there with them no matter where they went. He also started to write a book about this team, which went through many good and bad times during that period of time. The other main character in this text was Boobie Miles, since Bissinger paid a lot of attention to him, and a little less to the other characters. The author describes many things about his family: what happened, when it happened and how it happened. But the main idea that the author is trying to make in this text, is to show how America represents itself. He does this by choosing a high school football team. Since football plays a big role in American society the author chose to write about it. He described dreams and accomplishments that that football team had, and in essence America also had. These dreams and accomplishments were achieved by Boobie, who was one of the greatest players on the Permian High School football team. His childhood affected him very much, in fact it was the determining factor in his success today. He was raised â€Å"back in a tiny town that looked like all the other tiny towns that dotted the plains like little bottle caps, back in the place the whites liked to call Niggertown† (Bissinger, 58). There was a lot of racism in these little towns. His uncle L.V. Miles described this little town as very terrible. And this was true, because â€Å"the only way he could to go into a restaurant, if at all, was through the back† and this was only because he was black (Bissinger, 59). Another example of racism was displayed when he was not ... Free Essays on Friday Night Lights Free Essays on Friday Night Lights The name of the author who wrote this very interesting book, â€Å"Friday Night Lights,† is H. G. Bissinger. Bissinger was a newspaper editor in Philadelphia, after a while he went to Oddessa to meet the members of the 1988 Permian Panther football team. Incredibly enough for the next four months he was with them through every practice, meeting and games. It was almost as if he joined the team, because he was there with them no matter where they went. He also started to write a book about this team, which went through many good and bad times during that period of time. The other main character in this text was Boobie Miles, since Bissinger paid a lot of attention to him, and a little less to the other characters. The author describes many things about his family: what happened, when it happened and how it happened. But the main idea that the author is trying to make in this text, is to show how America represents itself. He does this by choosing a high school football team. Since football plays a big role in American society the author chose to write about it. He described dreams and accomplishments that that football team had, and in essence America also had. These dreams and accomplishments were achieved by Boobie, who was one of the greatest players on the Permian High School football team. His childhood affected him very much, in fact it was the determining factor in his success today. He was raised â€Å"back in a tiny town that looked like all the other tiny towns that dotted the plains like little bottle caps, back in the place the whites liked to call Niggertown† (Bissinger, 58). There was a lot of racism in these little towns. His uncle L.V. Miles described this little town as very terrible. And this was true, because â€Å"the only way he could to go into a restaurant, if at all, was through the back† and this was only because he was black (Bissinger, 59). Another example of racism was displayed when he was not ... Free Essays on Friday Night Lights Friday Night Lights People’s perception of small town Texas is generally an area consumed by high school football and racism. H.G. Bissinger’s Friday Night Lights is the story of one man’s experience with both segregation and football at Permian High School in Odessa, Texas. Bissinger’s novel describes the lengths that a high school football team and it surrounding community went through to eventually abandon their pro-segregation ideals for the good of their football team. The novel is set in what is described to be an average Texas town during the time of the Civil Rights movements. Bissinger describes Odessa as being a segregated town where the whites reside on one side of the town and the non-whites naturally on the other. This town even happen to be split by the railroad tracks, which made what side you were on abundantly clear. True to form, there was a nice high school and a not as nice high school, and up until the late 1900’s, when the state and federal governments created desegregation mandates to receive funding, only white students attended the nicer Permian High. The story goes on to detail what history tells us to be the normal reaction from parents and students; the parents went to school boards and town meetings while the students made it their goal in life to get the non-whites to drop out of the school that they didn’t belong in. True to form, redistricting and racial percentages started to equal out and the once cl ear class distinction as dictated by the railroad tracks began to blur. Like many southern towns during the civil rights movement, the whites were up in arms and now racial tension in Odessa was beginning to peak. This is until both races found they had something in common, other than being human, it was their love of high school football....

An Analysis of Robert V. Remini's Andrew Jackson Versus the Cherokee Essay

An Analysis of Robert V. Remini's Andrew Jackson Versus the Cherokee Nation - Essay Example Their rationale was that since â€Å"they no longer threatened white settlements,† then they should not be expelled from their lands in Georgia and relocated to the Indian territory, which is located in present-day Oklahoma (48). In addition to this national sentiment against the proposed Indian Removal Act, various individuals that politically represented the Cherokees – John Ross, John Ridge and Major Ridge – sought audience with Jackson on a possible compromise regarding the looming Indian removal, but to no avail (51-53). Perhaps, two other instances that showed the resolve of the Cherokees was when a number of Cherokee chiefs went to Washington in an effort to prevent the signing of the treaty, and when John Ross encouraged the Indians to ignore the newly signed treaty (53-56). Although the author does not mention it, the Cherokees were partly to blame for what happened to them two years after the Indian Removal Act was signed. Had they only remained obedien t to Jackson and the laws of the state, the bloodshed of 1838 would not have been as worse. Much of the blame also rested upon John Ross. Unlike his contemporaries John Ridge and Major Ridge, who were more liberal-minded and were willing to make compromises with the government, John Ross approached the issue rather conservatively and â€Å"acted imprudently and made impossible demands on the President† (52). Among the rather outrageous requests of Ross in behalf of the Cherokee people included a five-year protection of the Indians using federal troops as well as $20 million for the â€Å"reimbursement for losses† (53). Even after Jackson’s rejection of such requests, Ross remained stubborn and encouraged the Indians to remain in their territory even after the two-year deadline had elapsed (55-56). It was, however, the Indians themselves who suffered the consequences as many of them were slaughtered by federal troops and many more suffered in â€Å"The Trail of Tears† (56). If only Ross had not maintained his pride and had only explained to his people the wisdom in obedience, the Cherokees would not have been massacred and would even have perhaps thanked Ross for it. The author, however, puts the blame lightly on the Cherokees and Ross and somehow considers Andrew Jackson the man behind the murders: â€Å"He had become obsessed about removal† (56). Sharp Knife, as Jackson was called by the Cherokees, despite the ruling of the Supreme Court in 1831, perhaps influenced the passing of the law in 1830 â€Å"prohibiting white men from entering an Indian country† (48). Jackson also asked Schermerhorn to secretly negotiate the treaty with the Treaty Party of the Cherokees in an effort to advance the signing of the Indian Removal Act (53). Moreover, Jackson did not show any mercy or concern for the large delegation of Indian chiefs who went to Washington in 1835 (53-54). Lastly, the man who called himself the â€Å"Great Fathe r† of the Indians was the one who â€Å"regularly badgered [President] Van Buren about enforcing the treaty† (56). These were all proofs that Andrew Jackson did not play the game fairly and tried to outsmart the Cherokees by resorting to secret tactics just to have the treaty signed and have the Indians removed in no time.

PSC Coursework Example | Topics and Well Written Essays - 1250 words

PSC - Coursework Example SharePoint Foundation can be used to create a number of websites. The web pages on these sites may be enabled with collaboration via webpages, other documents and of course, data etc. This component of the Ms Sharepoint Package is the server in the setup of SharePoint just in accordance with its name. It takes Sharepoint Foundation as its baseline upon which it grounds itself. It is characterized with the property to organize site administration, compiling of lists and libraries and customization of the website concerned. Since SharePoint Server banks on SharePoint Foundation for all its basics it naturally incorporates all it properties along with its own. Significantly its own properties include The Content Management of an Enterprise, Knowledge Management and Business Intelligence, enterprise search, and personal profiles through My Sites. The very latest and the foremost with respect to the most current technological needs of the say, SharePoint Online  is a cloud based solution provided by the Computing giant Microsoft. It is suitable for businesses of all sizes. Instead of having the need of incorporating the entire massive structure of MS SharePoint within its premises any business can now log onto the cloud server of the application package. The only requirement is that subscription needs to be done and the employees of the organization/ business setup can be provided with an enterprise grade solution for creating sites. These sites would enable sharing of documents and information with partners, customers and colleagues.   Ã‚   â€Å"SharePoint Workspace is a desktop program that you can use to take SharePoint site content offline and collaborate on the content with others while you are disconnected from the network. While you and other team members are offline, you can make changes to SharePoint content that will eventually synchronize back to the SharePoint site.† (Microsoft, 2011) With the onset of