Big data has emerged as a powerful force, revolutionizing the business landscape both internally and externally. The term "big data" has gained immense popularity, akin to its predecessor, cloud computing. It can trace back to 1998 when John Mashey of Silicon Graphics Inc. prominently mentioned it. In 2010, big data garnered significant attention from managers and researchers, and in 2012, The New York Times featured a column titled "The Age of Big Data," heralding the arrival of the big data era. Data originates not only from structured databases within organizations but also from unstructured sources and external datasets. The avenues for data collection extend beyond enterprises themselves and include social network platforms, Internet of Things sensors, and government open data.
As its name suggests, big data refers to datasets that exceed the processing capacity of traditional database systems. Within this vast sea of data, we can harness the potential of data analytics, empowered by data mining algorithms, artificial intelligence, ChatGPT, and visualization tools, to unveil hidden correlations, uncover patterns, and discern market trends.
In this course, students will have the opportunity to delve into the realm of big data analysis and management. They will not only acquire knowledge of data mining and statistical approaches but also develop a keen understanding of analyzing data’s business significance. With the aid of artificial intelligence and ChatGPT, students will explore how to leverage big data for strategic decision-making, data-driven storytelling, and gain valuable insights that drive business success.