This report delves into the concepts of data handling and business intelligence, emphasizing their significance in collecting, storing, and analyzing data for informed decision-making. The report utilizes Microsoft Excel and WEKA software to analyze Superstore and Audi Dealership datasets. The first section evaluates Excel for data preprocessing, analysis, and visualization, determining the decline in sales and profits. It explores current trends in data warehousing and mining, including in-memory database management systems, SaaS, and web-based visualization. The second section focuses on WEKA, applying clustering techniques to the Audi Dealership data and discussing common data mining methods like decision trees, clustering, and correlation. The report concludes by comparing the advantages and disadvantages of WEKA over Excel, offering valuable insights into data analysis tools and their practical applications.
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