Jonathans Swifts Real Argument :: essays research papers

Jonathan's Swift's Real Argument      God just knows from whence came Freud's hypothesis of penis envy, however one of his progressively agreeable hypotheses, that of "reverse psychology", may have its underlying foundations in the parody of the late Jonathan Swift. I don't intend to state that Swift utilized or then again was at all acquainted with that style of influence, however his style is surely practically identical. Turn around brain research (as I decided to characterize it for this paper) implies taking contentions that certify an issue to such an extent, that they appear to be ludicrous, and consequently contradict the issue. Quick, in "An Argument [Against] The Abrogating Of Christianity In England" goes to bat for Christianity, and dependent on the ludicrousness of his safeguard, he incidentally befouls it. He sets up a imaginary society in which Christianity is dismissed and abhorred, yet ostensible Christianity remains. The writer writes to guard this ostensible Christianity from nullification. The contentions that the creator utilizes, which are regular information in his time, whenever applied to Christianity in Swift's time would be very hazardous claims. To be sure, the reasons that Swift gives for the conservation of the invented Christianity are actually what he sees amiss with the Christianity rehearsed in his time. By applying Swift's sarcastic contention for the conservation of this invented religion to that which was as of now rehearsed, Swift states that their Christianity served ulterior thought processes, both for the legislature and for the individuals.      If we are to demonstrate that the legislature was utilizing religion for narrow minded purposes, we should be certain that it was not filling its expected need, the confirmation of the ethical sacredness of its strategies. This is very apparent in the creator's remark that if genuine Christianity was resuscitated, it would be, "destroy at one blow all the mind and a large portion of the learning of the realm; to break the whole edge and constitution of things[.]" This demonstrates without question that Christianity has no impact on the administration's present arrangements. It even appears as though the administration set up Church isn't totally established in Christianity, as the creator feebly proposes that, "[A]bolishing Christianity may maybe bring the congregation into danger." The ways that the administration really utilizes Christianity are totally narrow minded. One such reason for existing is the comfort of partners, "among whom, for we should know, it might be the custom of the nation to accept a God." He later proceeds to recommend the annulment of Christianity in harmony time so as to dodge the loss of partners. It additionally appears as though the government utilizes Christianity to appease the average people. Albeit Swift snidely interposes, "Not that I [agree] with the individuals who hold religion to

Study of Lg

[pic] In incomplete satisfaction Of BACHELOR OF BUSINESS ADMINISTRATION [pic] Submitted to: Submitted by: SWARNITA SRIVASTAVA bb Asst Professor BBA 4sem Roll no SUN INSTITUTE OF MANAGEMENT and TECHNOLOGY 7 Km,Milestone Bareilly Road NH-24, Haji Nagla,Shahjahanpur (U. P) [pic] DECLARATIONI, ANJU MISHRA , thusly proclaim that the work titled Comparative Analysis of Employee's point of view towards â€Å"COMPARATIVE STUDY OF LG AND VIEDOCON AIR CONDITIONERS† epitomized in this report has been completed by me as a unique work. I proclaim that no piece of it has been submitted for any level of any organization already. Date: 30 APIRL, 2013 Acknowledgment I might want to accept this open door to offer my profound thanks to each one of the individuals who, legitimately or by implication made this undertaking conceivable. I have impressive assistance and backing in making this venture report a reality from numerous people.I might want to express gratitude toward Mr. ABHIJEET MISHRA, S IMT,SHAHJAHANPUR whose attempt for flawlessness, under fatigable enthusiasm, development and dynamism contributed in a major route in finishing this undertaking. This work is the impression of his idea, thoughts, idea or more the entirety of his humble exertion. Introduction This is the undertaking about profiling the brand character of climate control system brands. The undertaking includes the investigation of the entire Air Conditioner showcase. In this examination we have considered the two of the significant players in AC that is LG, Videocon.The report incorporated the study of the customer’s of these specific brands and afterward dissecting what sort of their clients are, the brand targets which fragment of the clients, the customer’s age gathering, pay gathering, their instruction level. Indian Consumer durables showcase used to be commanded by hardly any residential players like Godrej, Samsung, Hitachi Voltas and Kalvinator. Be that as it may, post advancemen t much remote organization have gone into Indian market ousting the Indian player and commanding Indian market the significant classes in the market AIR CONDTIONERS CONTENT 1. Presentation †¢ COMPANY PROFILE KNOWLEDGE ABOUT COMPANY †¢ OBJECTIVE OF THE SURVEY 2. RESEARCH METHODOLOGY †¢ COLLECTION OF DATA †¢ QUESTIONNAIER 3. Information ANALYSIS AND INTERPRETATION 4. End 5. FINDING AND SUGGESSION 6. Book reference RESEARCH OBJECTIVES ? To distinguish the two significant player of AC showcase and their piece of the pie, items and the players inside this portion. ? We Have taken the significant rivals in AC section as LG, Videocon, and did a top to bottom correlation of the equivalent on specific parameters, which will be ? characterized in the proper way of the proposition. ? To find out potential market and rivalry. Find out the purchaser inclinations and fulfillment factor ? To feature the view of the customers for the Air Conditioners. ? To do the brand profiling . ? To know the character characteristics, likings of the clients for singular brands. ? To know which client lean toward which brand. ? For what reason do they buy this brand as it were? ? How does this brand matches to their character. ? Which brand targets or is preferred by the clients of which age bunch ? Which brand is moderate by which pay gathering. ? Would the clients like to repurchase this brand? On the off chance that indeed, at that point why so. What are the qualities of the client the brand targets? Organization PROFILE OF LG History [pic] When Willis Carrier designed the main framework for â€Å"manufactured weather† in 1902, he started an industry that changed the manner by which we live, work and play. From that vital turning point †and through to the current day †Carrier has been an organization based on an inheritance of advancement. For over a century, our exploration, aptitude and thinking ahead have brought about market-driving developments an d â€Å"firsts† that have molded and characterized the warming, cooling and refrigeration industry.Through our history of item greatness and submitted client assistance, we have advanced into a worldwide organization serving a huge number of individuals and organizations in 172 nations on six landmasses around the globe. [pic] Carrier India Vision: To be perceived as the pioneer in each portion we work in by ? Being ‘customer focused’ in all that we do and following ACE tirelessly. Conveying ‘best in class’ quality in the item just as secondary selling administration. ? Being ‘environmentally conscious’ in territories of vitality effectiveness and contamination. Setting up an exhibition culture that regards human qualities and collaboration stay installed in our guiding principle of EH&S and morals Thereby developing beneficially and in front of the market each year, settling on Carrier a goal of decision for all inside HVAC&R in dustry. LG Electronics Is one of the main organizations in the field of gadgets with a worldwide nearness in numerous nations. .Prior to preparation, I have isolated the presentation part into three fundamental sub parts. †¢ LG Global †¢ LG India †¢ LG Pune History of companyThe organization was initially settled in 1958 as Gold Star, creating radios, TVs, fridges, clothes washers, and forced air systems. The LG Group was a merger of two Korean organizations, Lucky and Gold Star, from which the shortened form of LG was inferred. The current â€Å"Life's good† motto is a backronym. Before the corporate Name change to LG, family items were sold under the Brand name of Lucky, while electronic items were sold under the brand name of Gold Star. The Gold Star brand is as yet seen as a rebate brand. In 1995, Gold Star was renamed LG Electronics, and gained Zenith Electronics of the United States. pic] Global Operation LG Electronics is assuming a functioning job on th e planet showcase with its confident worldwide business arrangement. Therefore, LG Electronics controls 110 neighborhood auxiliaries on the planet with around 82,000 official and workers. LG Group †¢ LG. Philips LCD †¢ LG Chemical †¢ LG Telecom †¢ LG Powercom †¢ LG Twins †¢ LG Dacom Business territories and primary items Mobile interchanges [pic] a) CDMA Handsets, b) GSM Handsets, c) 3G Handsets, d) Cellular Phones Digital appliance[pic] an) Air Conditioners, b) Refrigerators, c) Microwave Ovens, d) Washing Machines, e) Vacuum Cleaners, f) Home Net, ) Compressors for Air Conditioners and Refrigerators Digital display[pic] a) Plasma TVs, b) LCD TVs, c) Micro Display Panel TVs, d) Monitors, e) PDP Modules, f) OLED Panels, g) USB Memory, h) Flat Panel Computer Monitors Digital media a) Home Theater Systems, b) DVD Recorders, c) Super Multi DVD Rewriters, d) CD ±RW, e) Notebook PCs, f) Desktop PCs, g) PDAs, h) PDA Phones, I) MP3 Players, j) New Karaoke Sy stems, [pic] Vision Global Top 3 by 2010 Global Top 3 Electronic/Telecommunication organization Growth technique â€Å"Fast development, Fast growth† Core competency â€Å"Product authority, Market administration, People leadership†Corporate culture No reason, â€Å"we† not â€Å"I†, Fun working environment TAG LINE â€Å"Life's Good† speaks to LG's assurance to give wonderfully keen items that will make your life great. The LG Electronics Life's Good signature comprises of the LG logo, seal, and the motto, â€Å"Life's Good† set in Charlotte sans typeface bended around the LG image. The bending of the motto strengthens LG's character and uniqueness. The reliable utilization of this mark obviously builds up the one of a kind personality of the organization and brings together every division and item from LG Electronics over the globe.The Symbol The image of LG is the essence of future. The letter â€Å"L† and â€Å"G† around re presents world, future, youth, mankind and innovation . LG reasoning depends on mankind. [pic] It additionally speaks to LG’s endeavors to keep cozy relationship with our clients around the globe. The image comprises of two components. 1. The logo in LG dim 2. The adapted picture of human face in the novel LG red shading. Red shading speaks to our kind disposition and gives a solid impression of LG’s pledge to convey the best. The circle represents The Globe.The adapted picture of a grinning face in the image passes on â€Å"Friendliness and Approachability†. The one eye on the image speaks to â€Å"Goal-situated, Focused and Confident†. The trademark of LG is â€Å"Life’s Good†. It communicates â€Å"Brand’s Value, Promises, Benefits, Personality. The Partnership LG Electronics decides to advance agreement and fabricate valuably on a work the executives relationship instead of a worker manager relationship. This outlines the board a nd laborers are not in a vertical relationship, yet in a flat one.This culture is fundamental for LG Electronics as it endeavors to get one of the world's top organizations. Such a relationship is changed into a worth creation relationship whereby the two gatherings attempt to address shared issues and make new qualities together. Vital union LG Electronics is making specialized advances and distinguishing business openings through different affiliated associations with a portion of the world's driving organizations. LG Electronics is endeavoring to get number one on the planet by blending in different business and innovative fields and putting key collusions with world on the map organizations. Vital relationship between corporations,† In which organizations with various foundations coordinate in the quick creating 21st century business field, Is of key criticalness as far as fortifying the current business and making another one. [pic] LG Electronics will give a valiant effo rt to make new items and administrations with a receptive outlook, while growing new innovations and business fields through different relationship with a portion of the world's best organizations. 1. 3M 2. SUN 3. Yippee 4. PHILLIPS 5. TOYOTA 6. MICROSOFT 7. HP 8. GOOGLE 9. GE 10. INTEL 11.NORTEL 12. HITACHI 13. PRADA 14. RENESAS 15. TOSHIBA 16. BESTBUY And the number follows man

Beginners Guide to Data Quality

Beginners Guide to Data Quality Data’s importance for businesses is currently one of the most talked about issues. Organizations are constantly told how data analytics can drive better decision-making and that big data is crucial for business success. But is all data useful? © Shutterstock.com | everything possibleThis guide will look at data in terms of data quality. We’ll explain what data quality means and how your business could suffer from low quality data. Furthermore, we’ll look at the  benefits  of and explain the core elements of efficient data quality management.WHAT IS DATA QUALITY?Data quality looks at the ability of data to be reliable enough to serve a specific purpose. Data quality possesses certain characteristics that determine whether the quality is sufficient.Whilst there can be numerous ways to measure data quality in terms of properties, certain main dimensions are usually used. These main characteristics include:Completeness â€" The extent to which the expected data attributes are present. This doesn’t mean data has to be 100% complete to be high quality, but rather the completeness is measured in terms of user expectation and data availability. Incomplete data records are among the biggest challenges organizations must deal with. This is especially the case with data provided by customers, as customers don’t always see the benefit of providing detailed information to companies.Validity â€" Looks at whether the references are valid. That is especially important when multiple datasets are being connected with each other.Accuracy â€" Data has to be accurate to be high quality. Accuracy means the data reflects the reality. It’s important to note that data could be complete, yet remain inaccurate. For example, you might have the addresses of your entire clientele, but some of these addresses might be incorrectly spelled.Consistency â€" In certain instances, you also need to determine the consistency of the data. If you have multiple datasets, you can measure the consistency of facts across these different sets.Availability â€" The extent of availability of the data. Data shouldn’t be hard to access, but be readily available to everyone that requires it.Timeliness â€" Determines how up-to-date the data is in terms of the current task. Usually done by comparing the use date for data with the data source date. All data should ideally be time-stamped to ensure that timeliness is achieved. You should be able to understand when certain data was provided, as it can help to better understand the validity and accuracy of that information.The above dimensions are generally used for determining whether data qualifies as ‘high quality’. Overall, data quality is often measured through its ability to serve a specific purpose, as mentioned above. The specific purpose of data is often to support:Operations â€" Data quality is measured by how well it helps to achieve different operational tasks.Decision-making â€" Data quality can be an integral part of decision-making.Planning Data quality is also crucial for corporate planning.THE DANGERS OF INACCURATE DATAData quality is a crucial part of data analytics and any business involved with big data must understand the implications of inaccurat e data. Data quality is one of those concepts which is important and you would think businesses understand it, but unfortunately data quality is not often a top priority.Data itself is not enough, but it must be high quality for the business to reap benefits. If you don’t look after your data, then gathering it becomes meaningless. Consider it through the example of owning a luxury yacht. You can have the yacht, wash it regularly and give it a fresh coat of wax every year. But if you never look inside it or service it by changing oils or checking the motors, you won’t be able to enjoy the yacht. If you don’t look after it and you go out on the sea, you might just get in trouble.In fact, many businesses are not looking after their data quality as they should. Halo Business Intelligence’s data shows nearly 40% of all company data is inaccurate. Perhaps more worryingly, over 90% of companies admit the contact data they have is not accurate.Furthermore, the same data shows compa nies are aware of the problems of inaccurate data to a certain extent. Around 66% of the surveyed companies acknowledged the possibility that inaccurate data has negatively affected the business. In fact, the surveyed companies estimated the cost of inaccurate data stood on average at $8,200,000.How does low quality data affect companies and cause such havoc? The dangers of inaccurate data can be divided into two main issues: financial costs and loss of reputation.First, as the above survey results show, inaccurate data can cost money. Without data quality, you are making decisions, implementing operational strategies and planning your next moves based on wrong facts. For example, you might use data in order to create a marketing campaign. But if the data is inaccurate, you might end up marketing the product to the wrong target market or make wrong assumptions about consumer preferences. Hence, you might end up spending money on marketing which won’t have the desired effect.On the other hand, inaccurate data can increase your operational costs. If you have inaccurate contact data for customers or third-party suppliers, you might spend too much time trying to find the correct information. In business, time is money.But doesn’t implementing data quality cost money as well? Initially you might notice a spike in spending, as implementing a new data strategy can be expensive. But the cost of inaccurate data is much likely to be higher than any data quality strategy. This is because fixing mistakes tends to be costlier than limiting the risk of mistakes.A 2011 study by Anders Haug, Frederik Zachariassen, and Dennis van Liempd found that businesses should consider calculating an optimal level of data maintenance. Businesses should find a balance where the cost of inaccurate data would not be more or less than the cost of data maintenance. The optimal level can depend on the business, as well as the industry it operates in. Nonetheless, the study did find the cost of inaccurate data tends to be higher than the cost of data quality maintenance.Finally, inaccurate data can be damaging to the company’s brand. Inaccurate data can directly impact how you communicate with your consumers and your third-party suppliers. Examples such as sending an e-mail with the greeting “Dear Rich Bastard” might seem extreme, but they aren’t imaginary.If you repeatedly provide customers with miss-information or call them accidently due to inaccurate data, your business reputation is going to suffer as a consequence. Customers might find your data inaccuracy a nuisance or simply start treating your information untrustworthy and look elsewhere for high quality data and customer service.THE BENEFITS OF DATA QUALITYIgnoring data quality can result in serious damage to the business. But aside from avoiding these obvious drawbacks of low quality data, there are more benefits of implementing data quality.First, data quality can help an organization to reduce cost s across different departments. Halo Business Intelligence research found organizations that introduced a data quality initiative managed to reduce:Corporate expenses by 10% to 20%IT costs by 40% to 50%Operating costs by 40%Again, many of the above cost reductions are a result of the accurate use of data. Planning, decisions and actions are all more effectively conducted when the organization uses appropriate data. Your business can more efficiently remove inaccurate information from its database and therefore save time and money.But your organization isn’t just able to reduce costs across the organization. The cost reductions and better utilization of data can also increase revenue and sales. Your organization won’t make costly mistakes that could potentially hurt the business. This can improve brand image and guarantee customer loyalty. Furthermore, since you are using accurate data, your marketing campaigns and sales strategies are able to achieve superior results. As mention ed in the example in the previous chapter, you are less likely to end up marketing to the wrong target market if you ensure data quality checks are in place.Overall, this can help improve risk management. Mistakes become less likely as you can rely on the information you are using to make decisions. Data quality can reduce the risk in a variety of sectors from customer service to product development.This can all lead to better strategic planning. Your organization can  plan efficiently, conveniently and accurately because:You don’t spend time chasing the correct information, as data quality ensures data accuracy.You can easily access and find the necessary data, as data quality assures data is available and easy-to-use.You can make effective decisions, as data quality guarantees the information you use is correct.As well as improving finances, data quality also provides plenty of support for organizations. Company effectiveness improves, as the organization uses accurate informati on. Customer service is based on better data and accountability is much easier to achieve. Once you have a data quality plan in place, finding the reason for mistakes is much easier. If data quality is ensured, you can’t blame the data for problems, but look elsewhere in operations for accountability. This makes life easier for employees as well since they don’t have to worry about double-checking every piece of information they use to make decisions.Data quality can provide more information about the organization, which can help you prioritize the most sought after services. Data quality helps to identify data gaps, data inaccuracies and even the data usage. Overall, you are more able to direct resources to the areas most in need of attention. It’s important to understand that the quality of data is more important than the quantity of data. Data quality not only helps you to ensure data is correct, but also ensures you don’t waste energies on gathering information that is n ot useful to your business objectives.THE CORE ELEMENTS OF EFFICIENT DATA QUALITY MANAGEMENTHow can you get your data in order? There are different ways to go about the quality of data. A business should firstly consider its needs carefully, as understanding of data goals and objectives is crucial for data quality success.Overall, there are certain core elements data quality management must consider. These include: data governance, data quality assurance and data quality control.Data governanceAn organization should appoint a data governance team to monitor data quality. You want the organization to have a team in charge of data quality, with clearly defined roles and responsibilities. This ensures data is up-to-date and that there are sufficient procedures to guarantee this. Appropriate data governance will also guarantee the team is supported and accountability is at the core of your data quality process. Nowadays, it has become increasingly popular among companies to appoint a Ch ief Data Officer (CDO) who makes sure the board of directors is aware of all data issues within the organization.The data management team should focus on business objectives, strategic goals and business drivers. You should ask questions such as: What are the key objectives for your business? How can your business meet them? The answers will help define the data your business needs to thrive and it can help prioritize data quality goals.Once you’ve defined the objectives for your business in terms of the important data and datasets, you need to establish a proper database. A number of different data quality programs can be helpful at this point; or you could outsource this task to a remote database administrator. The most important thing is to focus on including data that leads towards the goal and strips off irrelevant and unnecessary data. Organizations are often wary of deleting data, but data quality requires you to only hold on to essential and accurate data.Overall, remember that data quality is not only about implementing the strategies with the most sophisticated methods. As discussed above, you need to understand the trade-off between implementing data quality and the loss of finances and reputation due to inaccurate data. This means you must understand data and how your organization wants to use it. This could mean that you don’t need a costly data quality program, but simply better manual checking of data.Since human error is generally the biggest problem behind inaccurate data, data governance should focus on educating employees about the importance of high quality data. You don’t want to create a separate section for dealing with data quality, but ensure everyone in the organization understands why data quality matters. This can be much more beneficial in removing inaccuracies and inconsistencies than any sophisticated software.Data quality assuranceThe other essential aspect of data quality is data quality assurance (QA). This refers to the process of profiling your data in order to identify inaccuracies in the data. When you are implementing data quality assurance, you are performing the following tasks:Profiling the data to find anomaliesCleansing the data by removing and deleting incorrect dataDuring data quality assurance you are ensuring the data in use is of the highest quality in terms of achieving the objectives outlined during the section on data quality governance. The process could be considered as the ‘deep-cleanse’ or ‘spring cleaning’ of data. You are ensuring your data sets are focused on achieving the objectives and the data you use for this purpose is of a high quality. Data quality assurance is the process of optimizing your data.Data quality controlFinally, you’ll also need to implement data quality control protocols. Data quality control (QC) is performed after quality assurance has taken place, as it guarantees data is correct and consists only the important elements. Data quality contro l is essentially the process for controlling the use of data and ensuring it’s appropriately used within the organization.During data quality assurance, you’ll learn the following information:The level of inconsistencies within the dataThe level of data incompletenessThe level of data accuracyDuring data quality control, this information is used to decide whether the data can be used. For example, if QA discovers the data is full of inconsistencies, QC would prevent the data from being used. Your organization could have an online template where customers need to apply their phone numbers. During quality assurance, the phone numbers could be found to be incomplete in many instances. Data quality control would then prevent the data from being used, for instance, at the customer service department. This would prevent your customer service representatives from wasting their time ringing numbers, which don’t exist.Therefore, the data quality control process helps to prevent the inc orrect use of data. It allows your organization and data management team to fix the inconsistencies and inaccuracies before they are used for planning, decision-making or operations.Finally, you can watch the below video to understand data quality through the example of Chrysler. The video highlights the benefits of data quality and the processes it involves in a simple manner. CONCLUSIONData is important to businesses and your organization can benefit from data analysis in a number of different ways. But you should understand data alone isn’t necessarily a benefit, it can only provide advantages if data quality is ensured. Inappropriate data management can become a liability for businesses and data quality can limit the risk of this.Data quality can help ensure you use your data appropriately and it guarantees decisions and strategies are based on accurate information. But instead of simply implementing costly and time-consuming data quality programs, the organization must unders tand the objectives of their data use. Data quality will be best guaranteed when you understand what data is crucial for business success and you eliminate incorrect and ineffective data from your datasets.