SIMILARITIES BETWEEN SWOT AND PEST ANALYSIS SWOT and PEST analyses are similar both focus on environmental factors that may affect a company. Both types of analysis use group brainstorming to identifying environmental factors. However, there are several important differences between the analysis frameworks that must be understood before either can be used effectively. PURPOSE Both SWOT and PEST have become components of a good business plan and are key in evaluating environmental factors
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PEST Analysis Template Situation being analysed: ______________________________________________________________________ PEST analysis (political, economical, social, technological) assesses a market, including competitors, from the standpoint of a particular proposition or a business. |criteria examples |political |economical |criteria examples | | |
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PEST Analysis Template Situation being analysed: ______________________________________________________________________ PEST analysis (political, economical, social, technological) assesses a market, including competitors, from the standpoint of a particular proposition or a business. |criteria examples |political |economical |criteria examples | | |
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PEST Analysis Template Situation being analysed: ______________________________________________________________________ PEST analysis (political, economical, social, technological) assesses a market, including competitors, from the standpoint of a particular proposition or a business. |criteria examples |political |economical |criteria examples | | |
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------------------------------------------------- Case Analysis Guidelines & Checklist Overview: In many ways writing a short analysis paper (including recommendations and/or conclusions) is like writing an “action memo” or executive memo in business. The following sections go over how to organize and format your written work here in class and in the business world to be attractive to the reader and effective in getting your point across. Approach: * Read the entire case carefully
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still need to do more analysis and researches. (Youngcare, 2010) 2.0 SWOT analysis 2.1 Definition of SWOT: SWOT analysis includes strengths, weaknesses, opportunities and threats. The internal factors to the organizations are the strengths and weaknesses, however, the external factors are the opportunities and threats. The internal factors the organization can control directly, on the other hand, external factors the organization cannot control directly. “The SWOT analysis provides information
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Quantitative Methods and Analysis Instructor Leonidas Murembya April 23, 2013, Abstract This paper will be discussing regression analysis using AIU’s survey responses from the AIU data set in order to complete a regression analysis for benefits & intrinsic, benefits & extrinsic and benefit and overall job satisfaction. Plus giving an overview of these regressions along with what it would mean to a manager (AIU Online). Introduction Regression analysis can help us predict how
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understand profitability of customers. Volvo performs forensic examinations to cars that were in accidents to understand problems with vehicles and take steps to help from them happening. The data is such at a high where Volvo can almost have real time analysis to help them in supplying great service to the customers. The real-time information system that Volvo has implemented is base of collecting data, processing data and analyzing data to reach its organizational goals. Volvo process data from the transmission
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Charts That Make Money • Reversal Pattern – The Trend Will Reverse and go in the opposite direction of the original/Prior price trend eg. If the original/Prior price trend is up it will reverse and start to go down and viceversa. • Continuation Pattern – The Trend Will Continue in the same direction of the original/Prior price trend eg. If the original/Prior price trend is up it will continue to go up and viceversa. Continuation Pattern • • • • • • • • • • Bullish Triangle Bearish Triangle
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Hypothesis Testing – Two Sample * H0 : µ1 = µ2 H1 : µ1 ≠ µ2 * Case 1 -- If you know population variances, use this and Normal table * Case 2 -- If you know only sample variances, and samples are large, use this and Normal table * Case 3 -- If you know only sample variances, and samples are small, and unknown population variances can be assumed identical, use this and t-table, with n1 + n2 - 2 df. (sp is called “pooled estimate of σ”) * We use standard error
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