Reflection On Placement Experience In Womens Centre Social Work Essay Essays

Reflection On Placement Experience In Womens Centre Social Work Essay Essays Reflection On Placement Experience In Womens Centre Social Work Essay Essay Reflection On Placement Experience In Womens Centre Social Work Essay Essay The Ipswich Womens Centre Against Domestic Violence is a womens rightist community based administration committed to working towards the riddance of domestic and household force throughout the community. The primary focal point of IWCADV is to supply support to adult females and kids subsisters of domestic and household force. This includes telephone information, referral and support services, tribunal support for adult females, reding services, group work and kids s work. During my placement experience as a adult females s counselor at IWCADV I foremost spent a few hebdomads developing my apprehension of the issues involved in domestic force and the systems that are in topographic point to back up adult females and kids who are subsisters of domestic and household force. My cognition of the issues impacting adult females and kids sing domestic and household force includes an apprehension of the emotional impacts of maltreatment ( such as feelings of heartache and loss, choler, guilt, depression, injury ) , the loss of personal and physical security, safety concerns, the fiscal costs, household jurisprudence and other legal issues, and power and control instabilities in relationships. I have developed my cognition of the issues impacting adult females and kids sing domestic and household force in my university surveies and my work experience. The apprehension that I gained from my University surveies was enhanced during my pupil arrangement at the Ipswich Women s Centre Against Domestic Violence. It was here that I developed my apprehension of feminist positions on domestic and household force, including the person, familial, legal and societal issues. In this function I was able to develop my apprehension of womens rightist informed practises and techniques. I support this model for pattern as it can authorise adult females and assist them happen their voice, promoting adult females who have experienced the loss of control to do picks about their ain life and to take duty for their life picks and to take back control. I worked from within a feminist model to authorise the client to happen her voice and to detect her worth and do her ain picks. In my function as a pupil counselor at IWCADV I provided crisis support and protagonism work to adult females who have experienced domestic and household force. During the get downing guidance Sessionss, I found it was rather hard to ever follow the narrative and put way for the guidance. I took a strengths based narrative attack and normally after 2 -3 Sessionss a clearer image had developed of the client s experience with domestic force, and this continued to blossom throughout the guidance Sessionss. One of the most personally rewarding facets of my reding experience was the chance to research and see symbol and sand tray therapy. I spent some clip reading Sandplay and Symbol Work Emotional healing and personal development with kids, striplings and grownups by Mark Pearson and Helen Wilson to fix for my personal experience with symbols and sand tray therapy during my professional supervising Sessionss. I so had the chance to present one of my reding clients to the sand tray. Whilst I did hold feelings of uncertainness about my ability to ease the procedure, I did experience comfy plenty with the scene and with my client to make a safe topographic point for self-discovery and self-awareness. She was really unfastened to the procedure and we both found this to be an gratifying and meaningful experience. My client reported that this was a really positive experience for her and allowed her to treat some of her experiences with domestic force and that it was a discovery for her in fo otings of larning to accept and value herself. I felt that it was an honor to portion this portion of my client s journey. With another client who was directed by the Department of Child Safety to go to guidance, puting the way for each session was more hard. I did non believe that this adult female was ready to research some of the emotional issues related to the injury that she had experienced as a consequence of long term domestic force. I was encouraged by her regular attending and I believe that this was a consequence of my increasing ability to develop resonance. I was able to develop good resonance with my clients by being non-judgemental, utilizing unfastened ended inquiries and appropriate organic structure linguistic communication. I believe that my accomplishment in developing resonance is reflected by the feedback and regular attending to reding Sessionss by my clients. I did battle with stoping the Sessionss on clip and often found that Sessionss with some clients were running over 1.5 hours long. I spoke with some of the other workers at the service about this and they agreed that it could be hard particularly when adult females are researching really painful issues and that it was of import to be sensitive but direct when shuting a guidance session. The group supervising times that I was included in at IWCADV were besides really honoring and animating times for me. The other workers at the service were all really passionate adult females with a strong committedness to authorising adult females and altering community attitudes about force towards adult females. During group supervising at that place was chance and support for workers to reflect on their ain feelings of desperation and weakness, and at that place was encouragement to widen and portion your cognition and apprehension of the issues associating to domestic and household force. The group times were besides really honoring squad edifice occasions and there is a strong committedness at the service to back uping one another. For illustration, I found that after long phone calls or after a guidance session, another worker would check-in with me to supply any support and to reply any inquiries that I had.

Big Data and Supply Chain Management Essay

Big Data and Supply Chain Management Essay Introduction Big data has become one of the most important aspects of supply chain management. The concept of big data refers to the massive data sets that are generated when millions of individual activities are tracked. These data sets are processed to yield insights that help inform managerial decision-making. Supply chains in particular have leveraged big data because companies have been able to develop technology to not only capture hundreds of millions of data points, but to process them in meaningful ways to eliminate waste and promote efficiency in the supply chain systems. This paper will examine the concept of big data, how it has arisen and come to dominate supply chain management, and look at the different ways big data is transforming the supply chain function. Lastly, the paper will take a closer look at the future for big data with respect to supply chain management. As it becomes easier to gather data, and as there are diminishing returns to statistical robustness as the number of data points increases, are the competitive advantages of big data going to diminish? The Evolution of Supply Chain Management The field of logistics management was focused on controlling the flow of materials, in-process inventory and finished goods through a companys system from the time that it enters the system until the time that it leaves the system (Cooper, Lambert Pagh, 1997). As the field became more strategic in nature, it came to encompass other issues, such as sourcing materials and building in redundancy (Cooper Ellram,1993). More than simply moving things from point A to point B, the field became holistic in nature, where the quality and price of goods were factored into purchasing decisions as well as the logistics of getting those goods to the right place at the right time. Driving this change was the move towards a globalized marketplace. Globalization increased the complexity of the supply chain, adding longer transportation routes, border wait times, currency exchange, duties and tariffs, and a host of other variables that now had to be taken into consideration – logistics has rem ained important but it always viewed in context with the rest of the supply chain. Big Data The concept of big data really began to arise in the 1990s but has become increasingly important since that point. Big Data refers to the use of very large data sets to enhance managerial decision-making. The concept of big data arose as technology has developed to allow businesses to capture enormous data sets, and process them relatively easily (Boyd Crawford, 2012). Companies have long collected data at a rudimentary level. Loyalty programs and credit cards represented an evolution in the ability of companies to collect data and distill that data into consumer spending habits. This information is then made actionable by letting companies understand more about buying patterns. Big data is similar, but with a lot more data. One of the major advantages of big data is that it allows for complex problems to be solved. A modern supply chain can be exceptionally complex, and one of the important things about this complexity is that no one person can effectively make all the decisions â €“ decision-making tools are needed that can ensure not only consistent decision-making across the company but coordinated decision-making as well (Hult, Ketchen Slater, 2004). It is these coordinating mechanisms where the true power of big data lies – being able to identify things and make decisions that an entire team of humans working without big data would probably never be able to identify (Fugate, Sahin Mentzer,2005). Once big data gets to that point, a company can generate true competitive advantage. And when a company is large enough that is has a data advantage, it will be able to sustain that advantage, which is why there has been such a rush in recent years with respect to big data. As the concept was being fleshed out in academia, businesses were just starting to learn what they could do with all of the information that they were collecting – and one of the applications was to move away from marketing and use data to make decisions about the supply chain (McAfee Bryjolfsson, 2012). One of the first steps that companies needed to make was to hire data scientists – the sort of people who could process these data sets and derive useful information about them. Data scientists suddenly became popular, for their ability to take vast quantities of data, and derive actionable findings from that data (Provost Fawcett, 2013). At the heart of the drive to adopt big data is competitive advantage. Companies have invested in their data programs because they can derive significant advantage from big data under two conditions. The first is that larger companies have access to more data than smaller companies. The incremental cost of data acquisition is lower, and the companys ability to use that data in decision-making is theoretically better. The second is that even among larger companies, there are first-mover advantages to be had. This is evident in the supply chain, especially among companies that are competing on price. Using the classic example of Wal-Mart, one o f the leaders of data-driven supply chains, the company competes on offering the lowest prices, as do most of its competitors. Thus, if it can lower the cost of getting goods to its stores, it can pass those savings along to customers. There is opportunity for competitive advantage under that scenario, if cost leadership is the chosen strategy. Even when cost leadership is not the strategy, making the groundbreaking decision early puts a company in a better competitive position than its competitors (LaValle, et al, 2010). Big Data in the Supply Chain As the largest non-oil company in the world, Wal-Mart is looked to as a leader, so the fact that they were first movers on the use of big data in supply chain management has ensured that the rest of retail – and other industries as well – have followed. Some of the technologies that Wal-Mart has adopted allow the company to track its inventory from when it leaves the supplier –if not before – all the way through the logistics channel. Once Wal-Mart takes possession of the good, that good is scanned regularly through the process. The companys trucks are tracked via satellite. Stores use automatic re-ordering triggers to ensure that goods can be received as soon as they are needed. The goals of all this are to lower inventory holding costs by reducing the amount of inventory that stores have. Goods are turned over more quickly, because Wal-Mart receives them only days before it expects to sell them. Big data plays a significant role in ensuring that this pro cess can be achieved. There are a couple of key areas highlighted for big data in supply chain management. Demirkan Delen (2013) note that data, and how a company uses its data, is one of the ways it can truly differentiate from its competitors. It can be difficult to truly and consistently attract superior talent, and it can take time to move the needle on brand image, but data has become a popular means of finding competitive advantage largely because it is new, and firms in many industries are basically in a data arms race to find innovative ways to use their data to extract competitive advantage. The first is predictive analytics. Data science often focuses on using past events to predict future ones, and that is one of the main uses for big data in supply chain management. For example, if Wal-Mart in Smalltown, OH is running out of shovels at the end of February, and it takes twenty days to order new ones from China, including manufacturing and shipping times, three things can happen. The company can order a lot of shovels and ensure that they have supply. If spring comes, those shovels will sit in a warehouse until next November. They could also run out of shovels, but a late-season snow could leave demand on the table if the store lacks inventory. Modelling both weather patterns and local buying patterns can help the company to settle on demand. Even when weather is not a factor, the company can examine past purchasing patterns to set order quantities. The earlier it can set these quantities, the better response it can get from suppliers. Wal-Mart knows already what the no rmal amount of hot dogs it sells on the 4th of July, for example, so it can feed that information to its suppliers to ensure that they have those dogs at the Wal-Mart warehouse, exactly in the quantity Wal-Mart needs. Predictive analytics is used in supply chain management to take the variability out of the system as much as possible. Inventory usage is reduced, as is the potential for waste, especially with perishable goods. The chances of disappointed customers is also reduced. It is almost impossible – and certainly it is impossible for a company like Wal-Mart – to have exactly everything delivered exactly when the customer needs it. That means that there is always room for improvement. The pathway to improvement lies with bigger data sets, better analytics, and at scale even small incremental gains in the robustness of data or the ability of the company to analyze the data can yield meaningful financial gains (Waller Fawcett, 2013). But using data for something like predictive analytics – managerial decision-making, essentially – requires having good data, lots of it, and the means by which to process it. This is where larger companies enjoy scale advantages in big data. First, the technology to track events is not necessarily cheap. It can involve scanners, and certain involves large amounts of servers, routers, cloud storage – a lot of hardware. Larger companies are at an advantage in buying this hardware but they also have advantage in that they have many more data points. Wal-Mart can estimate sales because it has several years worth of sales, and can break these down by product, store, day, or even time of day. And instead of guessing for decision-making, the companys managers can look at the data and make the decision that on average delivers the greatest outcome. Data replaces decision-making heuristics when the data is sufficiently robust. Because the transference of big data relies on the Internet and communications technology infrastructure, that ICT infrastructure becomes a risk point for many companies but it also becomes a critical point of investment for companies that work with big data – how fast can the data collected on-site make its way to the decision-making tools matters in many businesses where time is of the essence in decision-making (Lu, et al, 2013). Predictive analytics has more than just value in ordering; it can help businesses to identify trends more quickly. This can be critical to advantage in some industries. Think of a fast fashion retailer – it needs to identify trends as soon as possible to get its knock-off clothes onto the market while the fashions are still fresh. Instead of anticipating, which is fraught with error, it can react to trends that have been verified with data. By understanding buying patterns and market cycles, companies can make better choices about what they make and when. This, in turn, is important to the supply chain, because companies also need to know what they need to produce their goods, and when. If there are fluctuations in availability, of if there is any variability among suppliers, then big data has the ability to point these factors out, and give the company an opportunity to deal with them proactively (Wang et al, 2016). Impact of Big Data When the concept of big data was first being elaborated, it promised major impact on business. Instead of guessing, firms would be able to make data-driven decisions that would reduce error, reduce waste and improve speed. As firms understand how to gather the data that they need, and to process it, they become more adept at this, big data has a bigger impact. Some leading firms have used the predictive powers of big data to help with their marketing. Amazon, for example, will recommend products to its customers based on what they have viewed and what they have purchased. Netflix does the same thing – and thereby encourages binge-watching of its shows. Both of these companies have become leaders in their respective businesses, and Netflix has done this specifically in the era of big data, by using that data to foster brand loyalty (Chen, Chiang Storey, 2012). If a company ends up as a first mover in big data, it will be able to gain advantage, and in many cases will make market share gains. Amazon faced a challenge from Wal-Mart a few years, ago, but has made use of big data to driver a high level of brand loyalty, while Wal-Mart fell short on its ability to use big data on the marketing side of its business. Netflix faced threat when major studios wanted to charge more for their content – so it created its own content and even more importantly used big data to improve the information architecture of its platform, allowing people to find content they want to consume. This increased the value of Netflix for many customers, thereby driving business value. Google uses data to target ads better, and charge its customers a premium. Customers are willing to pay more for a Google ad because they know that they will get more traction. So it is important that companies understand data on a conceptual level. One of the reasons that this is so important is that data today comes from a variety of different sources. This ties back to the concept of supply chain management, where the supply chain is a highly-integrated system with many parts from one end to the other. Understanding how the different variables within this system interact so that supply chain systems can be redesign in a more optimal way. Consider the way FedEx used the hub-and-spoke model before passenger airlines thought to do so. Consider how Wal-Mart designed its entire logistics network around lowering the amount of time that it takes for stores to restock. There are different approaches, but the innovations should derive from analysis of the data that identifies areas where the company might potentially perform better. Maybe sourcing goods from a certain country is no longer the lowest cost method, given how long it takes to get those goods to marke t. There are different ways of conceptualizing a supply chain, and now that companies are able to use data analytics to make those decisions, it is likely that many firms will start to restructure their supply chain (Tan et al, 2015). Total cost will become more important, but so too will overall responsiveness. Sourcing locally might provide a company with the responsiveness it needs for certain products that have higher variability in demand, for example. Future Directions While there is presently a shortage of people who have strong data analysis skills, these skills are becoming increasingly in demand, and schools are starting to train more students in the use of big data. One of the important factors here is that data has become much cheaper – big data arises because the cost of acquiring any given data point is very small, and continuing to shrink. Retailers in particular have been able to reduce their cost of data acquisition dramatically (Chen, Chiang Storey, 2012). Key to learning about the use of data is how to identify the problems that can be solved with data, how to match the data you have with the problems that you want to solve, and then developing systems to acquire the data that you do not have. At this high level of understanding, a company that thinks a good data game is in a much better position because having the right data matters just as much as knowing what to do with that data (Hazen, et al, 2014). The cloud and the Internet of Things (IoT) are driving a lot of changes in the way companies do business, and big data is playing a significant role in this restructuring of business. Zaslavsky, Perera and Georgakopoulos (n.d.) note that data is becoming a service function, with companies preparing to offer the means by which data can be acquired as a service, and the same for data analytics. We know that data is cheap to acquire, but combine that with lowering costs of processing data and there is a business model here, as well as one that focuses on using data to enhance business. The IoT will be more engaged in the data gathering process. For example, while convention supply chain data gathering might involve devices at the store level, the IoT might drill down further, to the individual level. Ovens could know how many people are cooking a frozen pizza and this information could be sold to frozen pizza makers, so that they can get a better sense of not only the performance of the ir products but of their competitors as well. This is the example a hungry person thinks up, but with more devices having some internet capability, it seems likely that type of application will emerge. Tesla is already a leader in gathering data about driving from its cars (Edelstein, 2016 Hull, 2016). Another progressive idea is that of big data benchmarking. If it is possible to buy and sell data to the point where a company can learn about the best practices at all levels for multiple companies in an industry, that would be incredibly valuable information to any firm in that industry. With the data explosion has come a rapid pace of innovation in the gathering and use of data. With this will come firms that buy and sell data, without actually gathering their own. Until now, data has largely been proprietary in nature, as a key source of sustainable competitive advantage, but as the cost of data acquisition declines, this might not be the case much longer. Secondary markets for data are already emerging and ultimately data will become commoditized – this process might take many years but it will happen and that will make for interesting analysis about the future of data , in particular the extent to which data can continue to be a driver of competitive advantage going forw ard (Ghazal et al, 2013). Finally, big data is also becoming a competitive weapon, which makes security of big data a major issue. Companies that gather and own data sets, and in particular the usable intelligence that has been gathered from those data sets, are increasingly going to be targeted with hacks. Security of big data is going to be an issue going forward. This is especially true of supply chain data, because that is powerful business intelligence. So it will be necessary, especially when using remote or cloud solutions, that data security is paid attention to, as the more that data becomes a source of competitive advantage the more at risk it will likely be. Conclusion Supply chain management had already emerged as a force in business, a holistic view of the supply chain that started with logistics but incorporated purchasing, product design and marketing as well, in order that supply chain decisions were not just based on a simply understanding of cost, but a complex one that took into account a number of different variables. Ultimately, supply chain management required significant amounts of data to be effective, and this realization occurred at just the time that managers realized they had the ability to gather, store and process data much more cheaply and easily than before. The transactional value of data grew at precisely the time that the acquisition cost declined. Data is typically used to aid in managerial decision making. Some companies have focused on the low-level decision where they seek out incremental gains on repeatable processes, knowing that those processes and other companies have sought insight that will allow them to completely transform their supply chains. Big data has become so important because the companies that are using it tend to be the market leaders. It is apparent that there is a scale value to data, which means that the largest companies, ones that have more data and lower data acquisition costs, are going to have sustainable competitive advantage. This has driven demand for data experts, such that there is a shortage of such individuals. Big data is going to continue to influence supply chain decision-making. There will be more points at which data is gathered, and the cost of processing data will continue to drop. There will still be a strong need, however, for talent that can conceptualize how that data should be used – after all, companies need to ask the right questions to get the most out of their data. If they can do that, they can sustain competitive advantage. In addition to there being an increasing ability to gather data, another reality is that many companies are going to be in the business of selling data. A company like Google sells data by proxy with its advertising, but as data becomes commoditized, the market for data will become more developed. An interesting aspect of this is that competitive benchmarking will be more common with respect to data practices. Firms will need to be careful to ensure that their proprietary data is secure so that they can maintain the competitive advantages that their data is giving them. If they can, then they can gain first mover advantage for tactics that deliver incremental gains, or the complete overhaul of a system to take advantage of something gleaned from the data. References / Works Cited Boyd, D. Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication and Society. 15 (5) 662-679. Chen, H., Chiang, R. Storey, V. (2012) Business intelligence and analytics: From big data to big impact. MIS Quarterly 36 (4) 1165-1188. Cooper, M. Ellram, L. (1993). Characteristics of supply chain management and the implications for purchasing and logistics strategy. International Journal of Logistics Management 4 (2) 13-24. Cooper, M., Lambert, D., Pagh, J. (1997). Supply chain management: More than a new name for logistics. The International Journal of Logistics Management. 8 (1) 1-14. Demirkan, H. Delen, D. (2013) Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems. 55 (2013) 412-421. Edelstein, S. (2016) Teslas autonomous-car efforts use big data no other carmaker has. Green Car Reports. Retrieved April 1, 2017 from http://www.greencarreports.com/news/1108065_teslas-autonomous-car-efforts-use-big-data-no-other-carmaker-has Fugate, B, Sahin, F. Mentzer, J. (2005) Supply chain management coordination mechanisms. University of Tennessee. https://www.researchgate.net/profile/Brian_Fugate/publication/228349679_Supply_Chain_Management_Coordination_Mechanisms/links/0c96051e3eaaa0280f000000/Supply-Chain-Management-Coordination-Mechanisms.pdf Hull, D. (2016) The Tesla advantage: 1.3 billion miles of data. Bloomberg. Retrieved April 1, 2017 from https://www.bloomberg.com/news/articles/2016-12-20/the-tesla-advantage-1-3-billion-miles-of-data Hult, G., Ketchen, D. Slater, S. (2004). Information processing, knowledge development and strategic supply chain performance. Academy of Management Journal. 47 (2) 241-253. LaValle, S., Lesser, E., Shockley, R., Hopkins, M. Kruschwitz, N. (2010). Big data, analytics and the path from insights to value. MIT Sloan Management Review. http://sloanreview.mit.edu/article/big-data-analytics-and-the-path-from-insights-to-value/ Lu, T., Guo, X., Xu, B., Zhao, L., Peng, Y., Yang, H. (2013). Next big thing in big data: The security of the ICT supply chain. IEEE Computer Society. Retrieved April 1, 2017 from http://diyhpl.us/~nmz787/pdf/Next_Big_Think_in_Big_Data__the_Security_of_the_ICT_Supply_Chain.pdf McAfee, A. Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review. Retrieved April 1, 2017 from http://www.rosebt.com/uploads/8/1/8/1/8181762/big_data_the_management_revolution.pdf Provost, F. Fawcett, T. (2013) Data science and its relationship to big data and data-driven decision-making. Big Data. 1 (1) 51-59. Tan, K., Zhan, Y., Ji, G., Ye, F. Chang, C. (2015) Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph. International Journal of Economics. 165 (2015) 223-233. Waller, M. Fawcett, S. (2013). Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management. Journal of Business Logistics. 34 (2) 77-84. Wang, G., Gunasekaran, A., Ngai, E. Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics. 176 (June 2016) 98-110. Zaslavsky, A., Perera, C. Georgakopoulos, D. (no date). Sensing as a service and big data. https://arxiv.org/ftp/arxiv/papers/1301/1301.0159.pdf

Assessment of myself Essay Example | Topics and Well Written Essays - 250 words

Assessment of myself - Essay Example One has been exposed to leadership roles in group projects and in other academic endeavors that necessitate assessing the talents of other people and harnessing their potentials. As such, one could deduce that one’s leadership strengths include the skill of introspection and the ability to discern the style of leadership that should be applied depending on the personalities of the followers and of the situation. For instance, some group members need to be told only once of their tasks and are immediately complied, as expected. However, there are others who need to be monitored as to their work progress, need to be guided, or even coerced to follow a defined strategy prior to ensuring that the task assigned is fulfilled according to specification. Still, one acknowledges that leadership is a continuing evolving process that could further be developed through training and actual experience. One looks forward to improving conflict negotiation skills, problem-solving and decision-making skills, as immersion to

Business Plan Degree Assignment Example | Topics and Well Written Essays - 3000 words

Business Plan Degree - Assignment Example Mission Statement of the Business Plan: First and foremost I would like to state the Mission Statement of our Business Plan. The Mission Statement of Thame Valley Golf Club should be to make it a professional Golf Club, making it a profitable one utilizing all its facilities to the maximum capacity. Thame valley golf club is situated in Oxfordshire, approximately 4 miles north of Thame Town centre. It consists of a par 36 full-length 9-hole course. The course is situated 10 miles north east of the city of oxford and 4 miles north of Thame town centre, Alysbury is about 10 miles away and High Wycombe is around 2 miles to the southeast. Motorway access is reasonably good as the M40 is only 5 miles away and M4 is around 25 miles away. The course is currently of 9 holes but land is available to build a further 9 holes in the future. There is only one set of Tees for the course. There is a practice putting green adjacent to the clubhouse and a large teaching and practice area. No PGA professional has been in place. Hence lessons have not been promoted. A local PGA Pro is running on ad hoc basis. The arrangement with the local PGA Pro is terminated with a mutually agreed settlement. At present a small shop selling regular day-to-day items and accessories is run by the owner's daughter. A new shop will be established near the test tee, where there exists an outbuilding, which will be made secured now. The Pro has to make the interiors of the shop. Facilities available: Male Female changing and shower rooms. Administrative offices Cafeteria style eating area Golf shop Current shop membership, Membership and Green Fees. The membership is growing steadily. Currently the membership stands at 419 comprising 196 men, 22 women, 99 seniors (Male), 19 seniors (Female) and 11 juniors. The owner targets to increase the membership to 700 with Men Ladies and juniors as main target group. The cost of the membership is as follows: Entrance Fee 175 Adult yearly subscription 385 Senior Yearly subscription 225 Junior 85 Social 15 Visitor 9 midweek ,, 12 a weekends ,, With members 8 The no. of round played by visitors averages at 35 and that of 30 rounds by members. Target round for visitors doubled at 50 rounds. External: Surroundings: There are 8 primary schools, 2 secondary comprehensives, several colleges and Oxford University in the surrounding. There are also two leisure centres and 3 private health clubs within 10 miles surroundings. Until recently there were 2 golf shops but due to fierce competition one of them has shut down. Competition: There are two more golf clubs in the surroundings: 1. The Old Established Private Members Club There is the St. Annes club, which is a private club situates around 9 miles from Aylasbury. It is a 103 years old club. This as professionally designed reputed golf club. It has a small practice area used by the professional for teaching. There is a small shop but is not well stocked.

This is Not the Perfect College Admissions Essay :: College Admissions Essays

This is Not the Perfect College Admissions Essay Choose the day, Choose the sign of the day. The day’s divinity, the first thing I see, a crazy world that beckons me. As I stand forth today in my infancy, I wish to seek— seek the knowledge which I must find for I must be in control of thee. The power to control oneself and the ones beside me, For if I not have the ultimate control rival that of Satan. This is the apocalypse. Apocalypse not of the world but that of my world, my inner feelings my dreams, my ambitions. Ambition, Greed, Envy, Anger and Arrogance are the most powerful emotions known to man. They were prevalent with the stone age man and they will remain as long as man continues to exist. They are experienced by the psychopath to the holy Pope himself. I have unfortunately or fortunately, encountered all. Ambition . . . will I stop at nothing to achieve my ambition, my goals, my sole purpose of existence? Ethics and morals might stand between me and ambition but what am I to do? When you’re three you’re taught to distinguish right from wrong, but who are they to make that distinction? You’re tutored morals yet you’re not told of stronger emotions that question the bounds of morality. Does greed have anything to do with ambition? Greed is ambition, ambition is greed. Ambition helps to create a sense of worth, the want to do better than the one beside you. The need, the greed to do better than the one before you. Greed is good, greed is right , greed works. Greed for knowledge, life, power, money, helps to create a balance between the strong and the weak. A wise man once said: "Envy is the greatest sin." This wise man was a fool. He failed to acknowledge that it is envy which helps a man pursue greater goals. It is due to the fact that another man, a mere mortal as compared to the strong man has surpassed him and he rightfully wants his place back. Progress in society is a result of man’s greed, ambition and the most inconspicuous of them all, envy. Anger is an emotion when controlled helps to get in touch with inner feelings. It channels the mind, clears ambiguous thoughts and helps focus on a clear objective.

The Ride-Sharing

The way people move from one location to another can be hard to satisfy their schedules, either because of congestion or the delay of the taxi that maybe far away. The ride-sharing is the current solution to overcome the problems caused by traditional transportation with the prime goal of splitting and reducing costs. The ride-sharing is concept where driver and passenger share the same destination. This project proposes (On my way) an android application to help improve one's mobility through sharing economy concept. This alternative will be a good way to save money, protect environment and quickly reach your destination. We will use ride-sharing Smartphone application, GPS and database system.IntroductionDespite the big revolution on car sharing services offering to people transportation from one place to another in their daily routine, reducing costs and traveling time. But, many areas doesn't have enough transportation networks, meaning that either they have a very low supply, having no public transportation at all in a certain time window, or the available options are too expensive. Certainly traditional ride-sourcing app like uber , careem are offering to people transportation from one place to another in their daily routine. At these traditional businesses, passenger have to go to the same destination every day, that mean that passenger have to meet up every day different driver going to the same location, wasting fuel, time, money and increase traffic congestion. Consequently, people (student, employee, etc.) does not know when which colleague is working at the same place, which impedes carpooling. In that subject, our idea came with a sharing economy concept to save us all from the horrors of pricey cab rides.ObjectivesThe objective of the project is to present a mobile application which provides a communication system between car owners and passengers. Objectives will be as: Design and develop an application server and a mobile application for users to access the ride-sharing service through their smartphones Design and implement a database that will communicate with our mobile applications to a ensure all features Provide some features like geo-localization, trip sharing requests, etc. The project will be treated by Waterfall Model. Waterfall Model is Cascade pattern which can be listed below consecutively. clarified requirements, systems and software design, implementation and unit tests, Integration and test of the system, Documentation and maintenance.Expected BenefitsReduce the ride costs both for driver and passengers.Passengers will be able to find for a ride, suitable to their situation.When reducing the number of cars on the road, our system will decrease pollution and the need for parking space and reduce the greenhouse gas emissions (CO2).Avoiding lonely trips will make the ride more conform and less driving stressAs the mobility sector continuously supports the authorities in the organization of public transport and mobility in urban and rural areas, it is familiar with topics such as congestion reduction and carbon footprint. From this perspective, sharing economy concept will be the solution to reduce the number of single-person trips by car. In that f ield, a shared ride can simply be used to integrate with colleagues and discuss social subjectsRelated WorkFlinc app :Flinc is the free ridesharing app for daily use. You can find drivers and passengers on your way to work, to university and just for fun. If you travel together, you can meet nice people, save money and quickly reach your destination. Register now for free and organize your ridesharing for short distances.LyftThe Lyft app is cheaper than a taxi, faster than the bus, and easy to use. Travel anywhere you want to go without needing rental car services or figuring out bus routes – we'll give you a ride right to your destination.

Greek Gods in Antigone - 1269 Words

Charles Wallace Mrs. Lopale CP English 10 7 May 2012 The Greek Gods and Their Role in Antigone The Greek gods were thought of as the most powerful forces to ever exist in ancient times. In turn, they played a pivotal role in the Greek people’s lives. Their power and influence over the Greek people is evident in many of the stories in Greek literature. Zeus, Poseidon, and Hades, the most powerful Greek gods, each played a part in the story of Antigone by Sophocles. Throughout the play, â€Å"God† refers to Zeus, the king of gods. Antigone’s main motive for defying Creon is that she does not think Creon is doing what the gods would want. â€Å"Which of us can say what the gods hold wicked.† That quote means that Antigone does not think people†¦show more content†¦He is also the son of Cronus and Rhea, and is the second most powerful god. He is one of the three supreme gods of the Earth. (Gall.) In one of his temper tantrums, Poseidon realized he was not happy with his ocean domain, and wanted to try and overthrow his brother, Zeus, and become king of the gods himself. Poseidon asked for help from Apollo, the god of light and music. Together, they bound Zeus with chains. Zeus had too much strength and power and freed himself very quickly. Zeus was furious with Apollo and Poseidon. As punishment, he sent them to work as laborers for Laomedon, the king of Troy, a city in what is now considered Turkey. Laomedon promised a very big reward if they could build a wall around the city of Troy. However, after they built the wall, Laomedon refused to honor his agreement and did not pay them for their work. In turn, Poseidon and Apollo sent a plague and a sea monster to destroy the city of Troy. (Gall.) Hades is the Greek God and ruler of the Underworld. He is often associated with wealth and agriculture. He is also the son of Cronus and Rhea and the third most powerful Greek god. Unli ke his two brothers, his realm cannot be seen by anyone living. The Greeks believe that his name, Hades, means â€Å"The Unseen One.† He is the only god that does not live on Mount Olympus; he has his own glittering palace made of pure gold and gems in the Underworld. The Greeks believe that when mortalsShow MoreRelatedTheme Of Antigone 964 Words   |  4 PagesDebis Professor: Kennedy ENC 1102 April 12, 2016 Theme In Antigone Sweeping dramas of rival families and of rival family members seeking control of a kingdom are very popular now. One obvious example is Game of Thrones, which continues to break viewership records and also engender controversy. Such sagas, however, are nothing new. Antigone, a play by Sophocles and the sequel to Aeschylus’ Seven Against Thebes, provides an ancient Greek perspective on the themes of power, duty, and law while providingRead MoreThe Ancient Greek Of Ancient Greece1690 Words   |  7 PagesThe ancient Greeks highly valued the strength and power in a spoken word. Political, economic, cultural, and social life of the Ancient Greeks can be seen in their plays. They thus relied on words to communicating. Their desire to communicate and pass crucial information led to the creation of numerous plays across the region. The ancient Greek plays were both entertaining and educative thus reflecting on the kind of life that this person lived (Hogan 11). Their settings ca n suggest a lot about theRead More The Relationship between Gods and Mortals in Mythology Essay1359 Words   |  6 Pagesbetween Gods and Mortals in Mythology The relationship between gods and mortals in mythology has long been a complicated topic. The gods can be generous and supportive, and also devastating and destructive to any group of humans. Mortals must respect the powers above them that cannot be controlled. The gods rule over destiny, nature, and justice, and need to be recognized and worshipped for the powerful beings as they are. Regardless of ones actions, intentions, and thoughts, the gods in GreekRead MoreSophocles Antigone By Sophocles964 Words   |  4 PagesIn â€Å"Antigone† by Sophocles, a famous ancient Greek tragedian, the main character, Antigone, demonstrates a prohibited action in a strict, male-dominated society. Greek civilization upheld strong values and rules that were designed to enforce orderly behavior among its people. There were state laws created by the King, Creon, and divine laws created by the Gods. Divine law was superior to the king laws, and if that rule was disrupted, eternal consequen ces could ruin an individual. In this societyRead MoreExplain the purpose of the main characters, minor characters and the chorus in Antigone. (30 marks)1556 Words   |  7 Pagesï » ¿Explain the purpose of the main characters, minor characters and the chorus in Antigone. (30 marks) All characters which feature in Sophocles’ play Antigone play an important role somehow; mainly conveying a certain moral or theme. The major characters portray the main themes such as loyalty, whilst some of the minor characters and the chorus explore the theme of prophecy and fate. Antigone is one of/the main character in the play named after herself. However it is debatable whether she is theRead MoreA Man Defeated By His Flaws in Sophocles’ play, â€Å"Antigone† 995 Words   |  4 PagesIn Sophocles’ play, â€Å"Antigone† translated by Robert Fitzgerald and Dudley Fitts, Creon believes his laws surpass the laws written by the gods but his real flaw is his belief in masculine superiority and his self-destructive pride. In Greek literature, a tragedy means a sad story in which a hero is defeated because of his flaws and through this the audience will have a better understanding of themselves and the world. King Creon takes the audience thru his journey of ego, stubbornness and sufferingRead MoreRelating to Characters in Sophocles Plays1561 Words   |  7 Pageshonoring the Greek God Dionysus, called The City Dionysia. For each festival a competition was held where competitors would write plays that were performed throughout the festival. At the conclusion the author of the best play was declared the winner. Sophocles entered this competition many times and was often awarded first prize. One of his most famous plays, that is still performed today is called Antigone. This play raises some questions concerning the importance of several aspects in Greek cultureRead MoreContrast Between Ancient Greek Theatre â€Å"Antigone† and Modern Russian Theatre in â€Å"the Cherry Orchard†.1695 Words   |  7 PagesContrast between Ancient Greek Theatre â€Å"Antigone† and Modern Russian Theatre in â€Å"The Cherry Orchard†. Theatre which is a main source of entertainment has made various stories in her womb regarding theatres in all over the world like African, Yoruba theatre, Asian Theatre, Middle-East Theatre and Western Theatre like Greek Theatres and Modern Russian Theatre. First of all, Greek theatre seems to have its roots in religious celebration that incorporated song and dance. Like this Greek theater shadowed byRead MoreAntigone Moral Dilemma1253 Words   |  6 Pagesplay Antigone by Sophocles is the value of human law vs. divine law. In this tragic play a newly appointed king Creon declares to his people that treason was committed during battle, and one of the two brothers (Polyneices) killed shall not be buried according to the Gods, but instead He shall be left unburied for all to watch the corpse mutilated and eaten by carrion-birds and by dogs (Sophocles, 1900.). This dilemma is felt by many, especially Antigone (sister of the deceased). In Greek cultureRead MoreDivine Law Vs. Human Law 1510 Words   |  7 Pagesreligion above the state their entire lives. In the play, Antigone, Sophocles dramatizes the division between divine law and human law. Antigone personifies religion and the law of the gods, while Creon exemplifies human law. Inevitably, the disputes between the two ultimately result in the characters’ tragic fates. Sophocles uses a variety of literary techniques to strengthen the theme and central conflict of religion versus law. In Ancient Greek times, religion was known to play a direct and personal