Reflecting on your instructor’s feedback in Weeks One, Three, and Five, put all your information together into a presentation. You may use any presentation program you choose, such as PowerPoint or Pr

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Reflecting on your instructor’s feedback in Weeks One, Three, and Five, put all your information together into a presentation. You may use any presentation program you choose, such as PowerPoint or Prezi. Imagine that you are going to give this presentation at a board meeting, faculty meeting, or company conference. Your presentation should be at least ten slides long, with a clear topic, presentation of data, description of analysis, and application to your hypothetical employment environment. The following slide do not count towards the 10 slide title and reference slide.

The only feedback I got was that in week 5 when referring to the bar graph make sure there is one in there.

Reflecting on your instructor’s feedback in Weeks One, Three, and Five, put all your information together into a presentation. You may use any presentation program you choose, such as PowerPoint or Pr
Polling Data Polling Data As an Amazon project manager, I’m giving a presentation to a group of Amazon sales managers. This will be accomplished through the use of a presentation. My presentation will concentrate on how polling data may be used to summarize how the general public thinks about various issues that may affect Amazon’s sales. Polling information gathered from several sources, including surveys, interviews, focus groups, and other types of public opinion studies, will be included in the statistics. The poll results will provide a comprehensive picture of public opinion on various topics that could be critical to Amazon’s sales operations, such as customer service, product selection, pricing, delivery, and return policies (Culpepper & Thelen, 2020). Furthermore, the data will be evaluated to determine public opinion trends and patterns Amazon might utilize to build sales methods. Because these trends and patterns may be relevant to Amazon, Amazon may find them helpful in developing these approaches. The presentation will also offer relevant case studies, examples, and best practices to highlight how Amazon can use the data to uncover areas for improvement and design techniques to increase its sales results. The presentation aims to show how Amazon can use data to improve its sales results. In addition, I will provide recommendations on how Amazon may better use the data to create more effective marketing campaigns and improve its ability to target specific demographics. The information I obtained and analyzed should provide Amazon’s sales managers with an understanding of how the general public feels about various topics pertinent to Amazon’s sales efforts and aid them in developing sales-boosting tactics. I gathered and analyzed the data in order to provide Amazon’s sales managers with an understanding of how the general public feels about various Amazon sales-related topics. Reference Culpepper, P. D., & Thelen, K. (2020). Are we all Amazon primed? Consumers and the politics of platform power. Comparative Political Studies, 53(2), 288-318. https://journals.sagepub.com/doi/abs/10.1177/0010414019852687
Reflecting on your instructor’s feedback in Weeks One, Three, and Five, put all your information together into a presentation. You may use any presentation program you choose, such as PowerPoint or Pr
Polling Data Polling Data I will present data in the form of a bar graph to illustrate the results of various polls related to how the general public feels about various topics that may affect Amazon’s sales. These polls were conducted to gain insight into how the general public feels about various issues affecting Amazon’s sales. The information was collected through multiple methods, including questionnaires, interviews, and focus groups. As a result, the bar graph will indicate the percentage of individuals who responded favorably or unfavorably to each issue based on their responses. In addition, the graph will also incorporate the general consensus of the population about each issue. This graph’s objective is to provide the sales managers at Amazon with an overview of the public’s opinion on various topics that could be essential to Amazon’s sales operations (Stephens-Martinez, Hearst, & Fox., 2014). My project could benefit from the use of bar graphs because these graphs offer a graphical depiction of the data that is simple and straightforward to comprehend. Moreover, because it can be reduced to a number and can be measured, this kind of information is classified as quantitative data. In addition, bar graphs are an efficient way to compare various types of data, such as positive and negative replies, and the results of various surveys. In addition, bar graphs make it possible to compare the general sentiment of the population towards a specific issue in a way that is both speedy and uncomplicated (Tong, Roberts, Borgo, Walton, Laramee, Wegba, Lu, Wang, Qu, Luo, & Ma., 2018). Clevelandresearch. (n.d.). Twitter. Retrieved from https://www.clevelandresearch.com/amazon-consumer-data-income-levels/ The information that is depicted in the bar graph will prove to be helpful to Amazon’s sales managers in a variety of different contexts. To begin, they can make use of the data to ascertain the general public’s viewpoint on a variety of issues that have the potential to influence their sales operations. These issues include customer service, product selection, pricing, shipping, and return policies. They will be able to determine the areas in which they require improvement as a result of this, which will allow them to raise their sales. Second, they can utilize the information to modify their sales approaches and methods to address particular groups’ needs more effectively. Finally, they can build more effective marketing efforts and better target the appropriate audiences if they have a deeper awareness of the public’s attitude toward various themes (Miller, 2013). In conclusion, the bar graph that I am giving gives a thorough picture of the public’s opinion on a variety of issues that may or may not be relevant to the sales operations of Amazon. The quantitative data is provided as a bar graph, making it simple to compare and evaluate the various responses. In addition, the data may be used to determine the public’s opinion on a variety of issues that have the potential to affect Amazon’s sales. This provides Amazon’s sales managers with a knowledge of how to target their customers better and develop more effective marketing campaigns. References Clevelandresearch. (n.d.). Twitter. Retrieved from https://www.clevelandresearch.com/amazon-consumer-data-income-levels/ Miller, J. E. (2013). The Chicago guide to writing about multivariate analysis. University of Chicago Press. https://press.uchicago.edu/ucp/books/book/chicago/C/bo15506942.html Stephens-Martinez, K., Hearst, M. A., & Fox, A. (2014, March). Monitoring moocs: which information sources do instructors value?. In Proceedings of the first ACM conference on Learning@ scale conference (pp. 79-88). https://dl.acm.org/doi/10.1145/2556325.2566246 Tong, C., Roberts, R., Borgo, R., Walton, S., Laramee, R. S., Wegba, K., Lu, A., Wang, Y., Qu, H., Luo, Q., & Ma, X. (2018). Storytelling and visualization: An extended survey. Information, 9(3), 65. https://www.mdpi.com/2078-2489/9/3/65
Reflecting on your instructor’s feedback in Weeks One, Three, and Five, put all your information together into a presentation. You may use any presentation program you choose, such as PowerPoint or Pr
Analysis of Polling Data Analysis of Polling Data Using polling data to gain insight into the public’s opinion on various topics is vital to understanding how to serve customers best, develop successful marketing campaigns, and make informed decisions in the workplace. This paper will analyze the data presented in the bar graph and discuss how it can be applied to a hypothetical workplace to improve sales and marketing strategies. The bar graph presented in the report is based on data collected through questionnaires, interviews, and focus groups to gain insight into how the general public feels about various issues that affect Amazon’s sales. The graph depicts the percentage of individuals who responded favorably or unfavorably to each case based on their responses and the population consensus about each issue. The topics discussed include customer service, product selection, pricing, shipping, and return policies. The data presented in the graph is an example of quantitative data, which is a valuable source of information for sales and marketing teams. Quantitative data provides a clear, concise, and easily comparable representation of public opinion on different topics. It is beneficial in identifying areas where there is a need for improvement or where the public is generally satisfied with the current offerings. For instance, the graph indicates that the public is usually happy with Amazon’s customer service, product selection, and return policies. Still, there is a need to improve their pricing and shipping policies. The data presented in the graph can be used to develop more effective sales and marketing strategies for a hypothetical workplace. The data can be used to identify areas for improvement in customer service, product selection, pricing, shipping, and return policies. This information can be used to develop strategies to improve those areas, such as offering better customer service, expanding product selection, offering more competitive prices, and improving shipping and return policies. Additionally, the data can be used to identify the public’s opinion on the overall value of the products and services offered by the hypothetical workplace. This information can be used to develop strategies to improve customer loyalty and engagement and identify areas where the workplace can provide more value to customers. The data presented in the graph can also be used to develop more effective marketing campaigns. For example, the data can be used to identify the public’s opinion on the overall value of the products and services offered by the hypothetical workplace. This information can be used to develop campaigns that focus on the benefits and weight of the products and services provided by the workplace and target specific groups of customers with tailored marketing messages. Additionally, the data can be used to identify areas where the public is generally dissatisfied with the current offerings. This information can be used to develop campaigns focusing on improving those areas and convincing customers that the workplace is the best option for their needs. Reference Clevelandresearch. (n.d.). Twitter. Retrieved from https://www.clevelandresearch.com/amazon-consumer-data-income-levels/

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