Data Design Report: Data Design, Analysis and Recommendations
VerifiedAdded on 2023/01/16
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AI Summary
This report provides an overview of data design, focusing on data collection methods like surveys and interviews, and their respective strengths and weaknesses. It then applies these concepts to a real-world scenario involving Aldi's supply chain, detailing the types of data collected (pack price, unit price, weight, etc.) and the survey questions used to gather information from vendors. The analysis emphasizes the importance of data in supply chain management, particularly in optimizing costs and ensuring timely delivery. Recommendations include using online surveys and close-ended questionnaires for efficient data gathering. The report also touches upon the potential of technologies like RFID and blockchain in improving supply chain processes. Overall, the report aims to demonstrate how effective data design and analysis can lead to informed decision-making and process improvements within a supply chain context.
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