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Compile and present the data that will inform your project. Examples: pie charts, bar charts, line charts, column charts, poll results, survey results, trend graphs, timelines, raw data table, summary table, narrative summary table, etc. Briefly introduce your data, present your data, then write a 200-word explanation of the data type and why this type of data is beneficial for your project. Example data types: primary, secondary, qualitative, quantitative, categorical, mixed, cross-sectional, longitudinal, etc. Incorporate concepts and key terms from the course. Use APA format for presenting data and include appropriate citations and references.
Note – Do not draw conclusions or make inferences about the data in this assignment. Only introduce the data, present the data and describe what type of data it is and why it is beneficial to your research. You will analyze the data in week 5.
· Compile various poll results into a bar graph.
· Compile multiple financial results to develop a trend graph.
· Annotate studies in a narrative summary table.
· Create a timeline graph of historical events.
· Develop a bar graph of demographics.
· Compile raw data into a table.
Compile and present the data that will inform your project. Examples: pie charts, bar charts, line charts, column charts, poll results, survey results, trend graphs, timelines, raw data table, summary
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