Big Data Analysis: Technologies, Challenges, and Business Support

This report provides a comprehensive overview of big data analysis, beginning with a definition of big data and its key characteristics, including volume, variety, veracity, value, and velocity. It then delves into the challenges associated with big data analytics, such as a lack of understanding, shortage of data professionals, complex data analytics, long response times, and high maintenance costs. The report also explores various techniques used to analyze big data, including A/B testing, data mining, and machine learning. Furthermore, it highlights how big data technology supports businesses, providing examples such as Amazon and 3Q Digital, illustrating how these companies leverage big data for consumer insights and marketing strategies. The conclusion summarizes the key findings, emphasizing the importance of big data analysis for effective data management and business support.