User Profiling: Tagging as the Art of Data Abstraction(Practical Data Analysis 4)
Explore the second half of the Internet era with insights into user profiling, data-driven strategies, and the power of refined operations to boost business.
Welcome to the "Practical Data Analysis" Series
Wang Xing once said that we have entered the second half of the Internet era.
In the first half of the early days of the Internet, you never knew who was on the other side. Back then, most people were early QQ users.
In the second half, internet companies are no longer novel, and most companies have already embraced digital transformation. They are using the internet for product promotion and e-commerce for selling goods.
In recent years, the second half has been driven by companies focusing on "big data" and "empowerment." These companies possess data and users.
They guide governments in smart traffic management and urban planning through big data.
They analyze consumer data to inform businesses about what products to produce and when to maximize customer satisfaction.
They leverage lifestyle data to advise restaurant chains and even real estate companies on site selection. If the first half of the Internet era was about crude operations benefiting from traffic bonuses without needing much detail, the second half is about refined operations becoming the enduring theme.
Having data and analytical capabilities allows for a better user experience.
Thus, users are the foundation and the starting point of data analysis. Suppose you join a skewer restaurant company, and the owner says, “Competition is getting fiercer. To succeed, we need to understand what customers like.”
On your first day, the owner asks, "Can you analyze user data to empower our business?" How would you respond?
You might say, “Boss, we sell skewers. Data mining is useless for us.” Chances are, you’d be fired that very evening.
So, what should you do? If you feel lost, don’t worry. Today, we’ll discuss how to analyze user data step by step.