PBL_DS - EXECUTIVE SUMMERY Firstly, we describe the...

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Unformatted text preview: EXECUTIVE SUMMERY Firstly, we describe the introduction of our report in which state about the raw data that we have taken from the number of foreign tourist in the year of 1989 and 1990. Also we state about the decision method that we use in analyzing and repairing the report. Besides, we also identify the categories of the forecasting method and the decision analysis. In business problem, we elaborate about the problem of the source of data. While for the analysis, we apply decision analysis and forecasting method in which for decision analysis we choose one of the four criteria which is maximin. For the forecasting method, we use simple moving average in order to solve the problem. Finally, the last part is conclusion that sum up of the whole report that we have done as well as include some of the Islamic value that relate to the topic of the report. 1 INTRODUCTION In this report, we use the primary and secondary data from the number of foreign tourists visiting Mexico that has given the monthly data for 1989 and 1990. To forecast the whole-year for 1991, we will use seasonal factor into account as well as decision analysis to process raw data into meaningful information to support business decision. Forecasting is a fundamental task for any business organization. These methods are broadly classified into two categories: quantitative and qualitative. When historical or past are available, then we quantitative techniques can be applied. The major quantitative methods of forecasting include moving average, exponential smoothing, trend projection, seasonal adjustment, and regression analysis. In this report, we use in order to analyze data and repair the report. For regression analysis....
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PBL_DS - EXECUTIVE SUMMERY Firstly, we describe the...

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