In today's digital age, data trading has become an indispensable field. With the increasing demand for data, data trading has also become increasingly important in the business and scientific fields.
Data trading is a blue ocean, and the traded information can be of any form, such as personal information, company information, transaction data, market research data, etc. In the business field, data trading can help companies analyze market trends, optimize marketing strategies, improve production efficiency, etc. In the scientific field, data trading can help scientists analyze data, conduct scientific research, propose new hypotheses, etc.
From the national level to the provincial level, discussions about data elements and data circulation are ongoing. In this process, the establishment of systems and mechanisms is particularly important. How to ensure rights, how to price, are all major challenges. Scholars in the industry are actively discussing and researching. Personally, I hope this is a process of benign development, rather than the final evolution of some people's political achievements. Currently, although data trading centers across the country are booming, Shanghai Data Exchange, Shenzhen Data Exchange, Guiyang Big Data Exchange, etc., all claim to have an annual trading volume of XX billion. However, those in the know understand that these exchanges are just "bright on the outside, but a bag of bran inside." Without government endorsement, without corporate support, they may have closed down early.
Even before governments and companies started the business of data trading, hackers had already set their sights on this piece of cake. On the dark web, various data leaked from government platforms and corporate systems are being sold, becoming a means for hackers to make money, especially personal information such as website registrations, courier packages, etc., can all be found for sale online. Those who purchase such data then use fraudulent means to profit even more, and the returns are substantial.
When it comes to data monetization, it is still important to focus on valuable data. Starting from demand, thinking about the uses of data, combining data from multiple sources, platforms like Qichacha and AiQicha can make money. They rely on various types of information from industry and commerce, courts, the internet, etc., solving problems related to inquiries about a company's integrity and scale. Once the demand is met, and there is a unique offering, the data naturally becomes valuable.