Market Segments and Targets Many organizations are utilizing target marketing to compete more effectively. Companies focus on the customers which they can most likely satisfy‚ instead of scattering their marketing effort. Effective target marketing requires identifying distinct groups who have different needs and preferences which is called market segmentation and select one or more market segments to enter which is called market targeting. In addition‚ for each target segment‚ marketers must establish
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Executive Summary In this report‚ I have discussed about the two major textile organizations that are AL-karam and Gul Ahmed textile mills. I have conducted a ratio analysis from the information gathered from their financial statements. In my study‚ I found out that AL-Karam is doing comparatively well from Gul Ahmed textiles as various ratios proved to be positive in terms of AL-Karam textiles. Accounting Policies Through accounting strategies and the methods of computation used in the preparation
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Fiber optic communication ABSTRACT FIBRE-OPTICS COMMUNICATION Most reference materials that discuss the historical perspective mention about Indian smoke signals. None of these primitive systems was secure due to the spreading of the unguided light. Ideally‚ a communication system should be secure and should not require installation of a cumbersome physical media. Fiber optics satisfied these desires‚ and as early as 1958‚ fiber-optic equipment was being focused for use in the factory. The fiber-optic
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Management Accounting Part A : 2-36: Strategic positioning: Describe Tartan ’s competitive strategy. On the basis of this competitive strategy‚ what recommendation would you make to task force? As an industrial leader in home lighting system manufacturing‚ Tartan Corporation has been existing for more than 90 years‚ with its brands and products firmly holding the proprietary in the market‚ while competition and potential threats‚ on the contrary‚ are impelling Tartan Corp to strengthen itself
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Report on External Environment Analysis of Baidu’s Big Data Business Globalization 1 Introduction With the development of the global economy‚ it is noticed that there is an increasing trend of companies’ internationalization since the “first age” (Wild and Wild‚ 2012:37) of globalization and there is a “real need” (Keillor‚ 2013:1) for business of all size to expand internationally. Besides the need of foreign markets mentioned early that attracts companies‚ the “limited growth opportunity” (Keillor
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Herzberg’s Two-Factor Theory Frederick Herzberg’s (1959) is a behavioural scientist who proposed a two-factor theory or the motivator-hygiene theory. In his theory‚ Herzberg suggested that job satisfaction and job dissatisfaction are caused by different and independent sets of factors. A study was conducted in which two hundred (203) accountants and engineers were interviewed. They asked open-ended questions which required them to recall times when they have felt either negative or positive at
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Presently‚ Business Intelligence (BI) analysis solutions are manually operated which makes it time consuming and difficult for users to extract useful information from a multidimensional set of data. Henceforth‚ by applying Data Mining (DM) algorithms for Business Intelligence‚ it is possible to automate the analysis process‚ thus comes the ability to extract patterns and other important information from the data set. Understanding the reason why Data Mining is needed in Business Intelligence
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“From the Great Above to the Great Below” is a story the majority of modern cultures are unfamiliar with. Being written in cuneiform‚ the text originates in ancient Mesopotamia‚ specifically Sumer. Thus‚ the text we have now is a translation‚ yet to the best of their ability the translators attempt to replicate the style and content of the original story. Because of this I find that the style the myth is written in creates some distance between the myth and a modern audience. For me‚ being able
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Overview: Chapter 2 Data Mining for Business Intelligence Shmueli‚ Patel & Bruce Core Ideas in Data Mining Classification Prediction Association Rules Data Reduction Data Visualization and exploration Two types of methods: Supervised and Unsupervised learning Supervised Learning Goal: Predict a single “target” or “outcome” variable Training data from which the algorithm “learns” – value of the outcome of interest is known Apply to test data where value is not known and will be predicted
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Psychographics Social Class Lifestyle Income Range 1. Middle Class adventurous‚ athelic‚ religious $80‚000 2. Middle Class adventurous‚ athelic‚ socialize $70‚000 3. Middle Class Independent‚ Outgoing $80‚000 - $100‚000 4. Middle Class Independent‚ Serious $50‚000 - $100‚000 5. Middle Class Independent‚ Religious‚ Money Consicious $50‚000 - $100‚000 Geography City County 1. Fountain Valley Orange 2. Santa Ana Orange 3. Irvine Orange 4. Newpor
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