1. Multiple Choice: What is the primary goal of data normalization in supply chain analytics? a) To reduce data redundancy b) To streamline operational processes c) To enhance data security d) To improve data comparability Answer: d) To improve data comparability Rationale: Data normalization is essential for comparing data from different sources on a common scale, which is crucial in analyzing supply chain performance metrics. 2. True/False: In supply chain management, the bullwhip effect can be mitigated by sharing point-of-sale data among all supply chain partners. Answer: True Rationale: Sharing point-of-sale data helps in accurate forecasting and demand planning, thereby reducing the bullwhip effect, which is characterized by increasing order size fluctuations in the supply chain.