DATA-DRIVEN DECISION MAKING
Competencies:
3009.1.1: The Case for Quantitative Analysis – The graduate uses decision-making methods
to develop strategies for organizational decision processes.
3009.1.2: Statistics as a Managerial Tool – The graduate uses a variety of decision-analysis
tools to evaluate alternatives during the decision-making processes.
3009.1.3: More Statistical Tools – The graduate uses quantitative techniques and statistical
tools to identify the most appropriate decision alternatives.
3009.1.4: Quality Metrics and Tools – The graduate analyzes how work is accomplished and
applies quality metrics and tools to increase efficiency, effectiveness, and quality.
3009.1.5: Real World Data-Driven Decisions – The graduate analyzes data from business
intelligence and knowledge-management systems to make appropriate decisions.
3009.1.6: Improving Organization Performance – The graduate uses appropriate data to
improve organizational performance.
Introduction:
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.
The “Decision Tree Presentation” in the Web Links section will help you identify an appropriate
technique to analyze the data.
Note: You must successfully pass task 1 before work on task 2 is started.
Requirements:
Create a report (suggested length of 3–5 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., table, chart, descriptive statistics) of the
data you collected.
3. Discuss one advantage and one disadvantage of the data gathering methodology you
used to collect the data.
C. Report how you analyzed the data using an appropriate analysis technique (e.g., linear
programming, crossover analysis, t-test, regression) by doing the following:
1. Describe the analysis technique you used to appropriately analyze the data.
2. Include the output and any calculations of the analysis you performed.
3. Justify why you chose the analysis technique.
4. Discuss one advantage and one disadvantage of the analysis technique.
Note: The “Decision Tree Presentation” in the Web Links section will help you determine the
appropriate analysis technique for your data and business situation.
D. Summarize the implications of your data analysis by doing the following:
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1. Discuss the results of your data analysis.
2. Discuss the limitations of your data analysis.
3. Recommend a course of action based on your results.
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:
• Author
• Date
• Title
• Location of information (e.g., publisher, journal, or website URL)
Note: The use of APA citation style is encouraged but is not required for this task. Evaluators will
offer feedback on the acknowledgement of source information but not with regard to conformity
with APA or other citation style. For tips on using APA style, please refer to the APA Resources
web link found under General Information/APA Guidelines in the left-hand panel in Taskstream.
Note: No more than a combined total of 30% of a submission can be directly quoted or closely
paraphrased from outside sources, even if cited correctly.
Note: For definitions of terms commonly used in the rubric, see the Rubric Terms web link
included in the Evaluation Procedures section.
Web Links:
1. Decision Tree Presentation link opens in new window
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DATA-DRIVEN DECISION MAKING
Competencies:
3009.1.1: The Case for Quantitative Analysis – The graduate uses decision-making methods
to develop strategies for organizational decision processes.
3009.1.2: Statistics as a Managerial Tool – The graduate uses a variety of decision-analysis
tools to evaluate alternatives during the decision-making processes.
3009.1.3: More Statistical Tools – The graduate uses quantitative techniques and statistical
tools to identify the most appropriate decision alternatives.
3009.1.4: Quality Metrics and Tools – The graduate analyzes how work is accomplished and
applies quality metrics and tools to increase efficiency, effectiveness, and quality.
3009.1.5: Real World Data-Driven Decisions – The graduate analyzes data from business
intelligence and knowledge-management systems to make appropriate decisions.
3009.1.6: Improving Organization Performance – The graduate uses appropriate data to
improve organizational performance.
Introduction:
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.
The “Decision Tree Presentation” in the Web Links section will help you identify an appropriate
technique to analyze the data.
Note: You must successfully pass task 1 before work on task 2 is started.
Requirements:
Create a report (suggested length of 3–5 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., table, chart, descriptive statistics) of the
data you collected.
3. Discuss one advantage and one disadvantage of the data gathering methodology you
used to collect the data.
C. Report how you analyzed the data using an appropriate analysis technique (e.g., linear
programming, crossover analysis, t-test, regression) by doing the following:
1. Describe the analysis technique you used to appropriately analyze the data.
2. Include the output and any calculations of the analysis you performed.
3. Justify why you chose the analysis technique.
4. Discuss one advantage and one disadvantage of the analysis technique.
Note: The “Decision Tree Presentation” in the Web Links section will help you determine the
appropriate analysis technique for your data and business situation.
D. Summarize the implications of your data analysis by doing the following:
Taskstream Page 1 of 2
https://folio.taskstream.com/folio/BasicBlankStyle.asp?qyz=&idx=directionsId_2 11/15/2015
1. Discuss the results of your data analysis.
2. Discuss the limitations of your data analysis.
3. Recommend a course of action based on your results.
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:
• Author
• Date
• Title
• Location of information (e.g., publisher, journal, or website URL)
Note: The use of APA citation style is encouraged but is not required for this task. Evaluators will
offer feedback on the acknowledgement of source information but not with regard to conformity
with APA or other citation style. For tips on using APA style, please refer to the APA Resources
web link found under General Information/APA Guidelines in the left-hand panel in Taskstream.
Note: No more than a combined total of 30% of a submission can be directly quoted or closely
paraphrased from outside sources, even if cited correctly.
Note: For definitions of terms commonly used in the rubric, see the Rubric Terms web link
included in the Evaluation Procedures section.
Web Links:
1. Decision Tree Presentation link opens in new window
Taskstream Page 2 of 2
https://folio.taskstream.com/folio/BasicBlankStyle.asp?qyz=&idx=directionsId_2 11/15/2015