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IIBA Certification in Business Data Analytics (IIBA-CBDA) · IIBA
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C. The results of analysis have been incorrectly interpreted
C. The results of analysis have been incorrectly interpreted Explanation: The increase in attrition rates after implementing the change to the hiring policy suggests that the analysis used to drive this decision may have been misinterpreted. The assumption that requiring more sales experience would reduce attrition likely overlooks other factors affecting turnover, such as job satisfaction, career growth, compensation, or management practices. If the analysis did not properly identify the real reasons behind the high attrition, implementing a policy based on flawed assumptions could lead to worsened outcomes. While B. The change proposed is not aligned to company strategy could also be a factor, the immediate problem appears to be related to how the analysis results were interpreted, leading to a misinformed decision. Citation: The IIBA Guide to Business Data Analytics stresses that correct interpretation of analytics results is crucial to ensuring that changes address the actual problems identified, rather than misdirecting efforts (IIBA, 2020, p. 45).
Ok, I changed my mind. While B highlights the importance of strategic alignment, C more directly addresses the immediate issue of why the policy failed to reduce attrition, pointing to a potential flaw in how the data was interpreted and applied. Both answers have merit, but C more directly answers the question of why the outcome was not as expected.