Data Analysis

What are Benefits As Well As The Challenges Associated With Big Data Analytics For Manufacturing Internet Of Things?

To begin this process, please do a web search and either read an article or watch a video describing your Google Analytics. The search can be as simple as “What is Google Analytics?” Then watch the following video that demonstrates how to create a Google Analytics account. Then, take the time to watch this video so you have a basic understanding of Google Analytics as a strategic decision tool.

 It is the aim of data analytics to produce accurate predictions that are of great value to clients or constituents. Sometimes however these predictions turn out to be wrong for a variety of reasons. Can you think of a case where data was analyzed and a prediction made that turned out to be a colossal mistake? 

What are the important considerations for managers preparing to undertake big data analytics projects? Base on the case (Home depot case ) and the report uploaded write an update report. The report should contain your own thoughts. You are free to use outside resources. If you use external resources, you must cite them. Ps: no copy and paste!!!

For your final project in data analysis, you will use the GSS Data Explorer to analyze a set of variables of your choice and write up a brief research report. You will use the same methods you’ve used in previous GSS assignments to do this. To get started, follow these steps: 1. Once you’ve signed into GSS Data Explorer, choose to Create New Project and name it Final Project. 2. Invite me to your Final Project by choosing “Invite Others” and entering my email [email protected] 3. Starting from in your Final Project, click on User Searches to search through the GSS variables, and choose a set of variables that you’d like to analyze. You can do this using keyword or the modules or subjects as we’ve done previously.  This time, you can use your own interests to choose variables.  You will be performing both univariate (descriptives) and bivariate (associations) analyses, so keep this in mind when you choose your variables. You may want to propose a hypothesis that you can test, or you may want to look at the relationships between variables without predicting what you expect to find. You should choose several variables (at least four.) You may choose to look at the relationships between several possible independent variables on a single outcome (dependent variable), a single independent variable on several outcomes (dependent variables), or the relationships between several sets of variables. Once you’ve selected your variables, move them into your variable cart for the final project. Choose ONE YEAR to conduct all your analyses. (Make sure that it is a year in which all of your variables were measured.) 4.  Run the frequencies on all of your selected variables. Construct and percentage of tables to report your results. GSS Data Explorer doesn’t run measures of center and measures of dispersion, so instead of running them, simply write a note of which analyses you would run for both central tendency and dispersion (remember that these are chosen based on the level of measurement of each variable.) 5. From within your Final Project, run the bivariate analyses appropriate to your data set (either cross-tabulations or correlations.)  Run the appropriate analysis for each of your pairs of variables. If you mess up on analysis, you can delete that one and start over. Run all the appropriate bivariate analyses for all of your variable pairs (so at least two).  6. Write a brief research report in which you identify which variables you analyzed and report the results of your descriptive and inferential analysis. This should include the percentage frequency tables for each of your variables as well as a discussion of the findings of your cross-tabulations and/or correlations. Did you find any statistically significant relationships?  If you proposed a hypothesis, did you find the predicted relationship?  You do not need to reproduce the results of the bivariate analyses in your report because I can see them in the Final Project, although you should include the findings of each analysis in the report. You should write something like “A cross-tabulation analysis of Variable X and Variable Y resulted in a Chi-Square p-value of __: no significant relationship was found.” 7. Submit the research report here.  Leave your analyses and variable searches in your Final Project in GSS so I can review them.

Evaluate the extent to which big data analytics has contributed to an increase in online sales for e-commerce companies. What are the most important considerations for such companies before the adoption of this approach? I will add the file. Evaluate the extent to which big data analytics has contributed to an increase in online sales for e-commerce companies. What are the most important considerations for such companies before the adoption of this approach? (this is my title) , This is my final writing exam for my English school language class. I added a file . the document in pdf format is a requirement of my writing task 3. the word document is my feedback on writing task 2, writing task 3 according to the teacher’s comments on task 2. Be sure to check out the documentation.

****only the final paper is needed-all milestones should be put into one paper, not four separate ones**** You will work with your instructor to choose a firm (NIKE, INC.) for which you can find reliable data and information, both at the firm level and the industry level. The firm you select must be a publicly-traded company, must operate in the U.S. market, and must currently be in business. You will need instructor approval before continuing on with your research paper in order to ensure you have met the necessary requirements. Publicly traded companies file reports with a great deal of data that you will find useful for your analysis. Once you have selected a firm for your case study, you will gather information and data relevant to the firm and its industry and use the core microeconomic principles you have learned in class to analyze the information and make a recommendation for your firm. You will compose a 7–9-page research paper in which you will analyze the market and business data to explain how the core microeconomic principles impact the sustainability of the firm, and your recommendation will suggest the actions the firm can take to ensure success.

Data Analysis and Interaction Design”  Please respond to the following: The collection of usability data from consumers can come from a variety of format methods (i.e., a Website, text message, door-to-door, phone call, etc.). NVivo and Atlas are two (2) well-known data analysis tools described in the textbook. Determine which tool you prefer over the other and explain why. There are key steps involved in product development before the design process can proceed. Explain the purpose of having user involvement and product goals before requirements can be established. Suggest the degree to which most users should be involved. For more information read this: https://en.wikipedia.org/wiki/Interaction_design

Mini-Proposal #1 (Qualitative)  You must submit a two to three-page qualitative research proposal for research on a topic of your choice. This “mini-proposal” should reflect a brief but highly specific plan for executing research towards a direct contribution (knowledge, application, or social) on your given topic. This submission must include the following: A brief introduction which covers Problem Space, Gap in Knowledge/Practice, and Significance of the Research Minimum One well-crafted Research Question with surrounding analysis/operationalization Three major themes to explore in the surrounding Literature Each of these themes should be accompanied by a brief description as to your rationale and its relevance to the related investigation Proposed Methods with accompanying rationale, which includes Sampling/Population Data Collection (with specific discussion of what the instrument would look like) Data Analysis Form of Outcome & Contribution A brief conclusion discussing how you would ensure Reliability and Validity

In Unit Two, students learn about the process of statistical analysis. Specifically, the role of variables and levels of measurement are reviewed. For the Unit 2 Complete assignment, write a narrative essay (minimum 1,200 words) that addresses and discusses the questions and statements listed below. Use at least three scholarly references to support the essay and remember to demonstrate a thorough understanding of the READ and ATTEND sections. List the references at the end of the essay in APA format and use in-text quotes within the narrative to denote the information derived from the listed references. Explain the difference between qualitative and quantitative data. Define the four levels of measurement (nominal, ordinal, ratio, interval) and note whether each level is qualitative or quantitative in nature. Provide an example of each level of measurement not included in the textbook. Why are levels of measurement important to the research process? Discuss variables, independent variables, and confounding variables, and how they are used in the research process. For more information on Statistical Analysis read this: https://en.wikipedia.org/wiki/Statistics