Big data, the word sounds a bit mysterious, so that someone who claims to have mastered big data can "look at the whole world like God." However, big data makes us feel close at hand. When you open a web page, it pops up an advertisement for your favorite product. In fact, this is a case of using big data for precision marketing.
Internet finance from the wind and water has pushed the application of big data deeper. Throughout the many practitioners of Internet finance, Alibaba, Baidu, Tencent, etc., Internet finance "big bang", many businesses are inseparable from the use and analysis of massive data. At the same time, big data processing technology is also inextricably entering the public life, is quietly changing our traditional financial field, constantly challenging the business model of all industries.
The combination of big data and the Internet has become one of the directions for future financial development. The finance here includes not only the electronic and dataization of traditional financial institutions, but also the many derivative operations of Internet financial institutions based on the establishment of big data platforms for data credit and risk control. Therefore, how to better use and operate big data has become a hot topic of concern. On April 20-22, 2014, at the annual meeting of China Green Corporation sponsored by the Chinese Enterprise Club, big data has also become the focus of hot discussion. On April 24, 2014, Digital Library Financial Consulting Co., Ltd. jointly released China's first off-market market special edition and series index, all based on big data.
"The essence of Internet finance is the application of big data in the financial field. The essence of big data is to lower the information threshold, provide a multi-angle reference to lower the threshold of decision-making, improve the quality of decision-making, and expand the analysis field that only professional organizations can explore into small organizations. Tools that can be used by semi-professionals and even people can be targeted solutions,†said Liu Yan, CEO of Digital Library Financial Consulting.
Turn big data into wealth
Securities Daily: Big data is particularly hot in the past two years, not only in the IT industry, the corporate world, financial institutions are also concerned, big data is gradually changing our way of thinking. So, what exactly is big data, how to define big data? How to make big data into wealth?
Wang Jian: The Internet company must be a data company. If you just collect information, it will not become wealth. The data I got before seems to be of little value. Turning data that seems to be of little value into wealth, this is Alibaba's understanding of big data.
In fact, Alibaba's understanding of the era of big data is still very primitive. From another perspective, it will not exceed Suning’s understanding of e-commerce. Of course, Suning Group should be respected, but I think Suning’s understanding of e-commerce is not enough. Today, Alibaba's understanding of the data, although many consumers like it, but I think it is still very shallow. Sometimes, Alibaba will also reflect, we are very respectful of big data, but the understanding is superficial. I just want to say that Alibaba is still in a very primitive state of understanding big data. In this industry, we have just started, staged, and strictly speaking, there are no experts. The problems that everyone encounters are also new ones.
Wang Yang: Big data is the strategy of IBM's entire company. IBM has been in the IT field for more than 100 years. Looking at the changes in the entire industry, today's big data has developed rapidly, which is actually expected. When IBM was first established, because of the US census, it was necessary to accumulate a large amount of data. At that time, the census was not the same as the current census. It required hardware such as machines and it took a long time to count. It's totally different now, because it's about grabbing data, but when we talk about big data today, we have to look at the technical level and the business model.
Liu Jiren: I think big data is not a big meaning, but a meaningful meaning. When you get more meaningful data, this is the big data and the basis for judgment. Today's data is becoming more and more complex in structure. The data I saw in the past is just a text message. Today's data includes SMS, WeChat, video, and sound. All the data is taken out and integrated to obtain information. We call data fusion. This process of integration will make your judgment change. More and more accurate.
Jiang Xipei: As far as enterprises are concerned, the former information is wealth, and now the data is wealth. The Far East Group is interested in becoming a global energy efficiency management expert and a global investment management expert. These two positionings undoubtedly need data support. What kind of enterprises to invest in, you need to understand the industry, the business results related to this enterprise, the future space, the customer base, etc., all need big data.
Yan Zidian: I think the biggest big data owners are China Mobile and China Telecom, but they won't use it. For example, if IBM and Huawei are planting tea, China Mobile is opening a teahouse, soaking tea leaves, saying that it is Longjing, a cup of 100 dollars, China Mobile has made a lot of money, IBM and Ericsson also earned A lot of money, this is the original business model. Suddenly a Ma Huateng came. After he took the tea, he said that I would give you no money, but the water also uses the water that China moves. China Mobile is very wrong, the original one hundred dollars of water, now only 20 yuan, but China Mobile has no way, because the water is still yours.
Big data is "the looters"
Securities Daily: At present, big data has been applied in various fields. What can big data bring to the financial industry? How is the value of Internet data reflected?
Yan Zidian: As far as I know, Tencent’s WeChat department has only a few hundred people. I was very surprised before. With 300 million users in three years, how did they do it? From a technical point of view, if you serve six million users, you need thousands of people, and this department has only a few hundred people. The second question, I think WeChat is very easy to make a profit. With a large number of users, you can make a profit by doing whatever you want. I think the big data now is "the looters", it copied the near road, big data has always been, this is one of my views.
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