Data-driven decision-making in a real world business situation

Data-driven decision-making in a real world business situation

This is an assignment that focuses on Data driven decisions in a real world business situation. The paper also addresses the collecting and analyzing of a set of data.

Data driven decisions in a real world business situation

W‌‌‍‌‌‍‍‍‌‍‍‌‍‍‍‌‌‌‍rite one paragraph including the following:

Identify a real world business situation that could be addressed by collecting and analyzing a set of data. Summarize one question or decision relevant to the real-world business situation you will answer by collecting and analyzing a set of data. Explain why the situation or question would benefit from a data analysis. Identify data you will need to collect that is relevant to the situation or question.

Note: A sample size of 30 or more is to provide a statistically reliable finding. Describe the data gathering methodology you will use to collect data. Identify the appropriate data analysis technique you will use to analyze this data (e.g., linear programming, crossover analysis, t-test, regression). Explain why the data analysis technique you chose is an appropriate technique to analyze the data collected.

Data driven decisions in a real world business situation

Using the above information Create a report (suggested length of 2–4 written pages or 800 words) by doing the following:

A. Summarize the real-world business situation you identified above

B. Report the data you collected, relevant to the business situation, by doing the following: 1. Describe the relevant data you collected. 2. Create an appropriate graphical display (e.g., bar chart, scatter plot, line chart, or histogram) of the d‌‌‍‌‌‍‍‍‌‍‍‌‍‍‍‌‌‌‍ata you collected. Note: This display should also be a summary or representation of your data, not raw data.

C. Report how you analyzed the data using an analysis technique from the given list by doing the following: 1. Describe an appropriate analysis technique that you used to analyze the data. 2. Include the output and any calculations of the analysis you performed. Note: The output should include the output from the software you used to perform the analysis. 3. Justify why you chose this analysis technique.

D. Summarize the implications of your data analysis by doing the following: 1. Discuss the results of your data analysis. 2. Discuss the limitation(s) of your data analysis. 3. Then, recommend a course of action based on your results. Note: Your recommendation should focus on the results of your analytic technique output from part C2.

E. When you use sources to support ideas and elements in a paper or project, provide acknowledgement of source information for any content that is quoted, paraphrased, or summarized. Acknowledgement of source information includes in-text citation noting specifically where in the submission the source is used and a corresponding reference, which includes the following: • author • date • title • location of information (e.g., publisher, journal, or w‌‌‍‌‌‍‍‍‌‍‍‌‍‍‍‌‌‌‍ebsite URL)