[pic] Topic Of The Report: The Analysis Of Porter’s Five Forces Model Towards OCBC Banking Industry Table Of Contents Table Of Contents...................................................................2 1. Introduction.........................................................................3 1.1 Introduction of the work......................................................3 1.2 Relative backgrounds of OCBC Bank............................
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2 Areas of data processing 1. Business Data processing (BDP) . Business data processing is characterized by the need to establish‚ retain‚ and process files of data for producing useful information. Generally‚ it involves a large volume of input data‚ limited arithmetical operations‚ and a relatively large volume of output. For example‚ a large retail store must maintain a record for each customer who purchases on account‚ update the balance owned on each account‚ and a periodically present a
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Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such
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These men are Captains of Industry‚ because they have helped our society by donating lots of their money to different charities and organizations. For Carnegie‚ he has‚“Donated more than $350 million to further public education‚ build over 2‚500 libraries.” (Website) Now that people can get a better education‚ they can get a better job and then support their family. Plus‚ poor people can check out books and get a free education‚ because there are more libraries. That way‚ they can get a job‚ support
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1. Business strategy analysis Strategy analysis enables the analyst to understand the underlying economics of the firm and the industry in which the firm competes. Involves 3 key steps: 1. Industry analysis What economic factors drive the industry choice? Impact on profitability? 2. Competitive strategy How has the company positioned itself in the industry? 3. Corporate strategy Can the company create value across the range of its business? (Ability to exploit synergies‚ minimisation
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Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified
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|8 | |1.1 |Telecommunication Industry Overview |8 | |1.1.1 |Singapore Mobile Market Subscribers and Services |9 | |1.1.2 |Singapore Telecommunication Industry Players Mobile Market Share |10 | |1.1.3
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Multiple Linear Regression Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Topics Explanatory vs. predictive modeling with regression Example: prices of Toyota Corollas Fitting a predictive model Assessing predictive accuracy Selecting a subset of predictors (variable selection) Explanatory Modeling Goal: Explain relationship between predictors (explanatory variables) and target Familiar use of regression in data analysis Multiple linear regression
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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 Services Vodafone’s Data Services are tailored to make you stay competitive even as your needs change. We provide simplified network solutions to improve your productivity and also offer customized solutions that save organizations from having to deal with multiple providers. We offer entry-level products using ADSL technology to high-end solutions delivered through a mix of ATM‚ Frame Relay or IP/VPN over MPLS-established technologies that alleviate pressure on your IT resources and give you
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