Analyzing and Interpreting Data. Essay

1164 WordsApr 10, 20135 Pages
Analyzing and Interpreting Data Jeremy Bellows, Belinda Cooley, Rachael Hartman, Autumn Lettieri, Pilar Williams, Abby Wilson QNT/351 March 11, 2013 Dr. James Gartside Analyzing and Interpreting Data Ballard Integrated Management, Inc., provides support services in the field of housekeeping, maintenance, and food services to a variety of corporations. BIMS has a vast list of clientele which include 22 “Fortune 100” businesses. These businesses include midsized firms, major universities, medical centers, and large regional airports. BIMS employs more than 452 full and part-time people, made up of both hourly and exempt staff. BIMS has been experiencing difficulties with a higher than normal turn-over rate of 64% at one of…show more content…
From the respondents, 23 were female staff, and 55 male staff. Of those surveyed, the food services department had 32 employees complete the survey, the housekeeping department had 36 employees complete the survey, and the maintenance department responded with 10 completed surveys. The employees answered questions regarding their working conditions, hours worked, training, compensation, treatment, communication, and security. The results of the survey are disappointing to the management at BIMS as the response was only 17.3% of their employees expressing how they feel about the company, and jobs. The initial survey indicated that most of the DMC employees were very unhappy with their current position, their salary, and their work experience at BIMS. With this, the hypothesis for the initial survey is that the results are skewed based upon a lack of input from employees. For BIMS to fully understand the higher than normal turnover rate at this particular facility, additional data will need to be collected. As BIMS initial survey process resulted in such a dismal return rate it left the management staff asking more questions than it has resolved. Debbie Horner, human resources manager realized the flaw in the employee survey and believed additional data was pertinent to BIMS success in lowering turn-over rates and set about designing a
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