Application of Analytical Techniques, statistics assignment help

Application of Analytical Techniques, statistics assignment help

I. Introduction Select one of the companies presented in the course. Research the company goals, audience, and strategies. A. Provide a brief overview of your selected company, including their products or services. What was their intended audience? What were their marketing strategies?

II. Data Interpretation Refer to the fictitious data set, Final Project I Data Set, provided. You must determine what data is relevant, and you must determine appropriate methodologies to interpret the data. Generally, the more methodologies you apply, the better your interpretation will be. In order to comprehensively interpret the data, you must apply at least three different appropriate methodologies. Methodologies could include factor analysis, multiple regression analysis, discriminant analysis, cluster analysis, conjoint analysis, or SEM analysis. A. Determine what data will be relevant for you to analyze. Why is it relevant? What will you hope to learn from an analysis of this data? B. Evaluate the data collection survey used to collect the consumer behavior data. Did the survey cover all the questions you would have asked if you had designed the survey? What recommendations would you make to modify the survey in future iterations? C. Interpret the data by applying multiple appropriate methodologies. Include charts, tables, and/or graphs to represent your interpretation. (Remember that your data interpretation should be supported by explanations of what data is represented in the tables, charts, and graphs so that company stakeholders can make informed decisions.) D. Justify why these methodologies were appropriate for analysis of the data, including strengths and weaknesses of selected methodologies. E. What conclusions can you draw from your analysis of the data in terms of segmentation of the customers, targeting, and positioning decisions?

III. Forecasting Create a forecasting model by determining an appropriate forecasting technique to apply on the data and by making predictions based on the results. Apply an appropriate forecasting technique on the data with different patterns (e.g., level, trend, seasonality). A. Justify the application of your forecasting technique. Why did you feel the chosen technique was most appropriate? B. What predictions can you make about what the company should do to drive future sales based on the forecasting model? Support your predictions with information and data from the forecasting model. C. What are the strengths and limitations of the forecasting model provided? What are appropriate ways to use the forecasting model in future decision-making?