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Analyzing and Interpreting Data – BIMS, Inc.

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Analyzing and Interpreting Data – BIMS, Inc.
Analyzing and Interpreting Data – BIMS, Inc.
QNT/351

Analyzing and Interpreting Data – BIMS, Inc.

Consulting Group – Team D has performed a series of analysis on behalf of the top management of Ballard Integrated Managed Services, Inc (BIMS). These tasks were the result of an emerging trend of attrition and employee dissatisfaction within their organization. The initial actions taken involved data collection that were presented in the form of an internal employee survey. The data collection analysis revealed our hypothesis and we set out to prove that the increase in employee turnover was due to low employee morale and poor employee performance.
The initial survey leads us to a very low response rate of 17.3%—we did not achieve our goal of obtaining the feedback of the vast majority of BIMS employees. By proceeding with our initial findings we analyzed, displayed, and interpreted, the outcome shows that BIMS was experiencing high turnover due to low pay and lack of communication within the organization. This information provided to be promising from the perspective that we were narrowing down to the core issues within BIMS; it just was not relevant enough for management to determine an effective course of action or forecasting.
The inferences made through our descriptive analysis approach made use of all three levels of measurement and dispersion were used and allowed us to rank the nominal feedback on scale of one through five, convert the ordinal and ratio feedback into a numerical value, where necessary. The demographic based questions were significant collected data based on years of service, division, gender and role and facilitated in our manipulation of the survey data. In combination, we were able to scratch the surface on a pattern of data that ranked very negatively and that also met the condition of our hypothesis—so all was not lost in our initial attempt.
At this point, we have been revisited by BIMS management to analyze and interpret a



References: McClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for business and economics (11th ed.). Boston, MA: Pearson-Prentice Hall. Perreault, W. D. Jr., Cannon, J. P., & McCarthy, E. J. (2011). Basic marketing: A marketing strategy planning approach (18th ed.). New York, NY: McGraw-Hill Irwin. University of Phoenix. (2011). Week Two supplement: Ballard Integrated Managed Services, Inc. Part 1. Retrieved from University of Phoenix, QNT/351 – Quantitative Analysis for Business course website.

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