Optimizing Customer Retention Through Data Analysis

Data-Driven Decision Making Task 1 Template Project Waiver or Release Statement (Prompt A1) ☒ ☐ NOTE (Prompt A1a): If you select the second option, “My project is based upon and/or includes Restricted Information”, complete and submit the attached “Organization Verification Form”. Student name: ID number: Date: PROMPT A. Describe a real-world business situation that could be addressed by collecting and analyzing a set of data. RESPONSE With new vaccine mandates rolling out daily for Covid-19, it would be wise for businesses to portray a great understanding of vaccines and the benefits they offer to their enterprise. There is a maintained hesitancy of the vaccine, so offering insightful knowledge of the advantages would greatly increase the number of employees who assist in the fight against Covid-19. A1. Waiver or Release Statement A1a. Organization Verification Form Complete the “Project Waiver or Release Statement” above by putting a check mark in one of the checkboxes. A2. Summarize one question or decision relevant to the real-world business situation you will answer by collecting and analyzing a set of data. Is there a significant difference in the average number of cases requiring hospitalization from Covid-19 between the vaccinated population and the unvaccinated population in the state of Pennsylvania? If you select the second option, “My project is based upon and/or includes Restricted Information”, complete and submit the attached “Organization Verification Form” as a separate attachment. A3. Explain why the situation or question would benefit from a data analysis. Data analysis would allow for employees to easily visualize the abundant impact vaccines have had on the number of Covid-19 cases requiring hospitalizations. A4. 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. The average number of vaccinated vs. unvaccinated in the state of Pennsylvania, as well as the number of Covid-19 cases requiring hospitalizations. A5. Describe the data gathering methodology you will use to collect data. Secondary methodology will be utilized pulling data from the Pennsylvania Department of Health Covid-19 Post-Vaccination website. A6. Identify the appropriate data analysis technique you will use to analyze this data (e.g., linear programming, crossover analysis, t-test, regression). 2 Sample t-test. (breakthrough hospitalizations vs. unvaccinated hospitalizations) A6a. Explain why the data analysis technique you chose is an appropriate technique to analyze the data collected. By utilizing a t-test analysis, you can demonstrate the higher chances of Covid-19 requiring hospitalizations amongst the unvaccinated. B.