PA Group Project

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Toronto Metropolitan University *

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107

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Information Systems

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Dec 6, 2023

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docx

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4

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HRM 4031: People Analytics Course Project Part One : Review and Analyze HR Data 1. Please see project data file attached, titled “Project_Data_Group_Assignment (2)”. 2. Average and median scores for voluntary turnover rates, involuntary turnover rates, customer satisfaction, customer loyalty, and total staff. Variable Average Median Voluntary Turnover Rate 0.4180217 0.4038462 Involuntary Turnover Rate 0.2304231 0.2262774 Customer Satisfaction 5.13 5.15 Customer Loyalty 76.60 77.07 Total Staff 110.5302 111 3. Minimum and maximum scores for the variables listed below. Variable Minimum Maximum Voluntary Turnover Rate 0.068702 0.867347 Involuntary Turnover Rate 0.07 0.445783 Customer Satisfaction 3.08 6.93 Customer Loyalty 37.27 99.17 Total Staff 57 155 4. Correlations for the variables listed below. Variables Correlation Voluntary turnover rates and customer satisfaction -0.37627 Involuntary turnover rates and customer satisfaction -0.09151 Voluntary turnover rates and customer loyalty -0.27801 Involuntary turnover rates and customer loyalty -0.02631 Part Two: Conclusions, Insights, and Recommendations 1
Top Insights Supporting Data/Information Key Insight #1: As turnover rates increase, customer satisfaction and loyalty tend to decrease. Voluntary TO Rate vs. Customer Satisfaction (-0.37627), Involuntary Turnover Rate vs. Customer Satisfaction (-0.09151), Voluntary TO Rate vs. Customer Loyalty (-0.27801), and Involuntary TO Rate vs. Customer Loyalty (-0.02631) all have negative correlations. Thus, higher turnover rates negatively impact customer satisfaction and loyalty. This data emphasizes the importance of strategies aimed at reducing turnover for maintaining a stable and positive customer experience. Key Insight #2: On average, there is a higher rate of voluntary turnover compared to involuntary turnover. Voluntary TO rate has an average of 41.80% and a median of 40.38%, while Involuntary TO rate has an average of 23.04% and a median of 22.63%. This could indicate potential areas of improvement in employee retention strategies. Key Insight #3: The company generally maintains consistent levels of customer satisfaction and loyalty. On average, customer satisfaction is at 5.13, with a minimum of 3.08 and a maximum of 6.93. Customer loyalty is at 76.60 on average, with a minimum of 37.27 and a maximum of 99.17. There is still room for improvement in certain units where these numbers are lower. Key Insight #4: There is a negative correlation between turnover rates and customer satisfaction/loyalty. The negative correlation between voluntary turnover rates and customer satisfaction as well as voluntary turnover rates and customer loyalty suggests that as voluntary turnover rates increase, the customer satisfaction loyalty tends to decrease. This highlights the importance of addressing turnover rates to maintain positive customer perception and retention. Key Insight #5: Customer satisfaction is moderate with some variability. On average, customer satisfaction is at 5.13, indicating a moderate level of satisfaction. The range from 3.08 to 6.93 2
suggests that there is some variability in customer satisfaction levels with both low and high ratings observed. Recommendations Action Steps for HR and/or Business Recommendation #1: Implement training and development to help increase customer satisfaction and loyalty. Conduct a skills gap analysis Design tailored training modules Choose appropriate training methods Implement training Monitor and evaluate progress Measure the impact Provide feedback Recommendation #2: Implement employee engagement initiatives to reduce high voluntary turnover rates. Develop an employee engagement strategy Foster a culture of open communication Recognize and reward achievements Promote work-life balance Offer good compensation and benefits packages Evaluate and adjust the strategies Recommendation #3: Analyze low-performing units to determine root causes of low customer satisfaction and loyalty scores to help inform decisions. Identify units with low satisfaction and loyalty scores Gather data and customer/employee feedback Analyze issues affecting performance Develop action plans to address causes and improve performance Monitor progress and adjust strategies Part Three: Telling the Story 3
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Please see the “People Analytics Group Project (1).mov” file. 4