大数据杀熟英语怎么说 大数据杀熟的英语表达

impact of big data-enabled price discrimination in English

Introduction:

Big data-enabled price discrimination, also known as big data price discrimination, refers to the practice of setting different prices for different customers based on the personal information collected through big data analysis. It has become a controversial topic as it raises concerns about fairness, privacy, and consumer rights. In this article, we will explore the concept of big data-enabled price discrimination, its implications, and related terms.

1. Definition of Big Data-enabled Price Discrimination

Big data-enabled price discrimination is the act of using customer data to implement price differentiation among existing customers. For example, on a flight, premium members may be offered a different price compared to regular customers for the same seat. Similarly, in ride-hailing services, the starting point and distance may lead to different fares for different users. This practice is based on analyzing consumer preferences, habits, income levels, and other relevant data.

2. Language Equivalents for Big Data-enabled Price Discrimination

Various phrases can be used to express big data-enabled price discrimination in English. Some common equivalents include:

Big Data Discrimination

Big Data Price Discrimination

Personalized Pricing through Big Data Analysis

Differential Pricing based on Customer Data

Customer Segmentation for Pricing Purposes

3. Implications of Big Data-enabled Price Discrimination

While big data-enabled price discrimination can benefit companies by maximizing profits, it raises ethical concerns and can have negative impacts on consumers. The implications include:

a) Unfairness and Lack of Transparency: The practice of offering different prices to different customers based on their personal data can be perceived as unfair and lack transparency. It can create a sense of distrust among customers and damage the company's reputation.b) Privacy Concerns: Big data analysis requires collecting and analyzing customers' personal information, which raises privacy concerns. Customers may feel uncomfortable knowing that their data is being used to discriminate against them in pricing.c) Limited Consumer Choice: Price discrimination based on big data can limit consumer choice. If customers are segmented and offered different prices, they may not have access to the best available deals or discounts.

4. International Terms and Definitions

In addition to the English equivalents mentioned earlier, it is worth noting that price discrimination and related concepts are not limited to specific regions. Different countries may have their own terms and definitions for big data-enabled price discrimination. For example, in Chinese, it is commonly referred to as "杀熟" (dà shùjù shāshú), which translates to "big data kills familiarity."

Conclusion

In conclusion, big data-enabled price discrimination refers to the practice of offering different prices to different customers based on their personal data. This practice has both positive and negative implications, including concerns about fairness, privacy, and consumer choice. It is important for companies to balance their use of big data analysis with ethical considerations and transparency to maintain trust and consumer satisfaction.