Business Intelligence and Data Handling Report: Smile Clinic Analysis

This report provides a comprehensive analysis of data handling and business intelligence techniques applied to the Smile Clinic. It begins with an introduction to business intelligence and its role in data-driven decision-making. The report then delves into the practical application of Excel, demonstrating the use of pivot tables for data summarization and analysis of sales and profit trends from 2009 to 2012. It also covers the pre-processing of data within Excel and its role in data analysis, as well as the visualization of data through charts and graphs. The report then moves on to discuss SPSS, including a specific example of clustering analysis to categorize customers, and provides an overview of common data mining methods. Finally, it compares the advantages and disadvantages of SPSS over Excel, offering a well-rounded perspective on data handling tools and techniques.