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Introduction
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1.1 create a plan for the collection of primary and secondary data for a given business problem
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1.2 present the survey methodology and sampling frame used
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1.3 design a questionnaire for a given business problem
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2.1 create information for decision making by summarising data using representative values
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2.2 analyse the data to draw valid conclusions in a business context
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2.3 analyse data using measures of dispersion to inform a given business scenario
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2.4 explain how quartiles, percentiles and the correlation coefficient are used to draw useful conclusions in a business context
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3.1 produce graphs using spreadsheets and draw valid conclusions based on the information derived
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3.2 create trend lines in spreadsheet graphs to assist in forecasting for specified business information
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3.3 Prepare a business presentation using suitable software and techniques to disseminate information effectively
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3.4 Prepare a formal business report
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4.1 use appropriate information processing tools
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4.2 Prepare a project plan for an activity and determine the critical path
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4.3 Use financial tools for decision making
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Conclusion
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References
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Page 1 of 25
Introduction:
In business, making good decisions requires the effective use of information. Business
Decision Making provides the opportunity of learning a variety of sources and develops techniques in four aspects of information: data gathering, data storage, tools available to create useful information and presenting.
Moreover, using appropriate IT software and spreadsheets for data analysis and the preparation of information provides the advantages of using information systems which is currently used at all levels in every organisation.
Everpia London, a company with 100% Korean invested capital is the owner of highgrade Everon bedding- a reputable brand
References: Abrahamson, E. (1996). "Managerial fashion." Academy of Management Review. 21(1):254-285. http://www.jstor.org/pss/258636 Aaron,S., (January 23, 2009) Haines, S (2008). The Product Manager 's Desk Reference. McGraw-Hill; 1 edition Lawley, B Turban, Efraim (2002), Electronic Commerce: A Managerial Perspective, Prentice Hall . http://www.itu.dk/courses/DIDE/E2006/downloads/welcome_to_the_experience_econo my.pdf[Accessed 26th Jan, 2012] Selden, P. H. (December 1998). "Sales Process Engineering: An Emerging Quality Application" Trochim, W(2006) Research Method Knowledge Base [online] William MK Trochim cited 5th November, 2011