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Analyzing and Interpreting Data: Ballard Integrated Managed Services

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Analyzing and Interpreting Data: Ballard Integrated Managed Services
Analyzing and Interpreting Data
Ballard Integrated Managed Services (BIMS) conducted an internal survey for 440 employees, excluding top management, asking 10 questions on morale and four questions on demographics. BIMS upper management noticed a change in staff morale and an increase in the staff turnover rate, which initiated the survey. Barbara Tucker, General Manager, wants to discover what is making employees want to leave and has enlisted the help of Debbie Horner. Debbie Horner, human resources manager for Ballard, created an internal survey in hopes to calculate descriptive and frequency techniques, and study the data for possible relationships. A total of 78 responses were returned, which is a 17.3% response rate (University of Phoenix Week Two Supplement, 2012). All 78 employees answered on a scale of one to five, with one being very negative and five being very positive.
Question #1 of the survey asks employees how well they enjoy working for BIMS. Based on the survey data collected, nineteen percent marked that they were very negative about working at BIMS. Twenty six percent of BIMS employees were negative toward enjoying their work. Over 50% of the participants ranked between being satisfied and very positive about their job at BIMS. Management should communicate with employees to find ways to boost employee morale.
Question #2 of the survey asks employees if they enjoyed their assigned shift at BIMS. On the survey on whether the employees enjoyed their shifts about 49 percent were either satisfied, felt positive or were very positive concerning their shift at BIMS, 47 percent of the surveyed employees felt very negative and negative about their shifts. Four percent of the participants did not respond. The management at BIMS should make available to employees a variety of shifts such as being off every other Friday, a 4pm-10pm shift where employees work their 40 hours in four days instead of the traditional five day work week or change 12



References: Lind, D. A., Marchal, W. G., & Wathen, S. A. (2011). Basic statistics for business and economics (7th ed.). New York, NY: McGraw-Hill/Irwin. McClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for business and economics (11th ed.). Boston, MA: Pearson-Prentice Hall. University of Phoenix. (2012). Week Two Supplement: Ballard Integrated Managed Services, Inc, Part 1. Retrieved from University of Phoenix QNT/351-Quantitative Analysis course website.

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