ITECH1103 - Big Data and Analytics: Customer Data Analysis Report
VerifiedAdded on 2022/08/19
|17
|2592
|14
Report
AI Summary
This report presents an analysis of customer data using SAS Visual Analytics, focusing on extracting meaningful insights and patterns to aid business decision-making. The analysis encompasses a comprehensive customer dataset, including purchase details, customer demographics, and geographic information. The report utilizes SAS Visual Analytics to visualize key findings, such as customer purchasing trends, revenue generation by country, and customer order patterns. Findings reveal that customers from Italy contribute the most in terms of quantity purchased and the United States generates the highest revenue. The report highlights the importance of addressing delivery times, particularly for high-value customer segments and in specific geographic regions. The analysis includes visual representations such as bar graphs, geo maps, and decision trees to illustrate relationships between variables like customer type, order quantity, and retail price, ultimately providing actionable recommendations for optimizing business strategies and enhancing customer satisfaction. The report also discusses the application of visual analytics within the broader context of big data challenges, emphasizing its role in transforming raw data into valuable information for improved decision-making.
Contribute Materials
Your contribution can guide someone’s learning journey. Share your
documents today.