you ever thought about the reasons why some private schools experience enrollment growth and why others decline? If you were developing a theory of school growth‚ what would you propose as the most important factors that influence enrollment growth? Based on my experiences in working with private‚ Christian and independent schools throughout the country‚ I believe that there are multiple factors that contribute to enrollment growth and decline at a school. Let me highlight some of these factors
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The circular flow model reflects the flow of money‚ goods and services throughout the economy. This model is composed of households and business firms and it divides the markets into two categories‚ Product Market and Factor Market. In the Product Market‚ the households consume and purchase the goods and services that are sold by the business firms‚ creating exchange of currency (dollars) between the households who are receiving a finished product and the business firms who are making a profit
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Cash Flow Problems In this task I will be analyzing the cash flow problems a business might experience by giving examples and describing how and why they cause cash flow problems in a business. The cash flow problems a business may experience can be: - CUSTOMERS TAKE TOO LONG TO PAY This is when a customer purchases an item without paying which leads the customer into a debt as it owes the company money. They then take too long to pay back the money which means that the company has sold
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Assignment Caledonia should focus on project free cash flows as opposed to the accounting profits earned by the project when analyzing whether to undertake the project because cash flows formulas focus on the project itself. Free cash flow formula determines whether an investment adds value to the firm‚ which important to Caledonia’s management. Since one of a firm’s primary goal is to gain profits for its stakeholders‚ using free cash flow formula would offer the most valuable information in the
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DATA INTEGRATION Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations‚ which include both commercial (when two similar companies need to merge their databases and scientific (combining research results from different bioinformatics repositories‚ for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes
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DATA COMPRESSION The word data is in general used to mean the information in digital form on which computer programs operate‚ and compression means a process of removing redundancy in the data. By ’compressing data’‚ we actually mean deriving techniques or‚ more specifically‚ designing efficient algorithms to: * represent data in a less redundant fashion * remove the redundancy in data * Implement compression algorithms‚ including both compression and decompression. Data Compression
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evening before discussion Be prepared to discuss the case in class (your answers‚ your analysis‚ etc.) 1 Valuation - Use NPV approach How to make investment decisions: 1. Estimate (expected) cash flows in each time period 2. Choose an appropriate discount rate 3. Use discounted cash flow analysis to calculate NPV 4. Make decision that maximizes NPV Fundamental principle: V(A+B)>V(A)+V(B) Value driver:1)Eliminate overhead 3) Leveragen brom dname Pay its=D(P)(P-VC)-FC V(Pinkerton after)+V(CPP
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DATA DICTIONARY Data Dictionaries‚ a brief explanation Data dictionaries are how we organize all the data that we have into information. We will define what our data means‚ what type of data it is‚ how we can use it‚ and perhaps how it is related to other data. Basically this is a process in transforming the data ‘18’ or ‘TcM’ into age or username‚ because if we are presented with the data ‘18’‚ that can mean a lot of things… it can be an age‚ a prefix or a suffix of a telephone number‚ or basically
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Big Data‚ Data Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse
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Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining
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