This report delves into the realms of data handling and business intelligence, examining current trends in data warehousing, business intelligence, and data mining. It utilizes Microsoft Excel to preprocess, analyze, and visualize superstore sales data, identifying factors contributing to sales decline, such as unit price reductions and shifts in shipment modes and product categories. Furthermore, the report employs WEKA, a data mining software, to perform clustering on an Audi dealership dataset, uncovering customer behavior patterns. The analysis reveals that customers tend to favor the showroom experience over the dealership, offering insights for optimizing dealership strategies. Additionally, the report highlights that RS7 is the most popular car among the three car versions, and the analysis provides valuable insights for decision-making. The report also compares the advantages and disadvantages of both tools to provide a comprehensive overview of data handling techniques.
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