DATA-DRIVEN DECISION MAKING

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 identify a real-world business situation that would benefit from a data analysis in order to find an actionable recommendation. You should select an issue in your workplace or program specialty area (i.e., IT management, HC management, or MBA). This business situation and data will be used to complete task 2. Do not work on task 2 until you have successfully passed task 1, indicating that the business situation and data analysis plan have been approved. Use the “Decision Tree Presentation” in the Web Links section to help you identify the appropriate analysis technique. Requirements: Use the attached “Data Driven Decision Making Template” to complete the following prompts: A. Describe a real-world business situation that could be addressed by collecting and analyzing a set of data. Note: Your selected real-world business situation should relate to an issue in your workplace or program specialty area (i.e., IT management, HC management, or MBA). Your data analysis will be used to make an actionable business recommendation. 1. Summarize one question or decision relevant to the real-world business situation that you will answer by collecting and analyzing a set of data. 2. Explain why the situation or question would benefit from a data analysis. 3. Identify data you will need to collect that is relevant to the situation or question. Note: A sample size of 30 or more is suggested to provide a statistically reliable finding. 4. Describe the data gathering methodology you will use to collect data. 5. Identify an appropriate data analysis technique you will use to analyze this data (e.g., linear programming, crossover analysis, t-test, regression). Taskstream Page 1 of 2 https://folio.taskstream.com/folio/BasicBlankStyle.asp?qyz=&idx=directionsId_1 11/15/2015 a. Explain why the data analysis technique you chose is an appropriate technique to analyze the data collected. Note: The “Decision Tree Presentation” in the Web Links section will help you determine the appropriate analysis technique for your data and business situation. B. 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. File Attachments: 1. Data Driven Decision Making Template link opens in new window 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_1 11/15/2015