Data driven decision making wgu

Data Driven Decision Making

In this task, you will address the real-world business situation that you identified in task 1. Using relevant data you have gathered, analyze the data and recommend a solution. This recommendation will be included in a report that you will write, summarizing the key details of your analysis.

Note: You must successfully pass task 1 before work on task 2 is started.

Approved data analysis techniques for this task include the following:

Recommended Analysis Techniques:

· regression (linear regression, multiple regression, or logistic regression)

· time series or trend analysis (regression, exponential smoothing, or moving average)

· chi-square

· t-test

· ANOVA

· crossover analysis

· break-even analysis

Additional Approved Analysis Techniques:

· statistical process control

· linear programming

· decision tree

· simulation

Requirements

Create a report (suggested length of 4 written pages) by doing the following:

A. Summarize the real-world business situation you identified in task 1.

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 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. 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)