Balance Treasure: 80% Of The Total Amount Held After Nearly 50%

< p > Tianhong Fund recently launched the "balance treasure 1st Anniversary big data report", Yu Ebao's user characteristics, age, quantity, geographical location, usage habits, paction frequency, paction time and other real information for the first time disclosed.

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< p > > a href= "http://sjfzxm.com/news/index_cj.as" > balance treasure < /a > mass sample has exceeded 100 million users. In other words, there is a balance treasure user in every 13 people in China, which is more "full sample" than the general "sample survey", and is truly "big data".

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Less than P, the number of customers has also made Tianhong Zeng Li Bao monetary fund the largest number of clients in the world, and has become the fourth largest Monetary Fund in the world.

As of May 26th, the scale of the balance reached 574 billion 200 million yuan, running 1st anniversary for the treasure powder income of 11 billion 800 million yuan.

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< p > the aforementioned report shows that the balance of treasure holds 5030 yuan per capita, the average age of each is 29 years old, and the ratio of 80 to 90 is 76%.

After 80% of the total number of people accounted for 43.82%, the amount of holding the balance reached 49.76%, and the contribution of the balance treasure was nearly half; the age group of 18~22 years old students accounted for 20%.

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< p > 80 is the absolute "high frequency trader". In the 496 million pfers of the balance treasure, 810 million times of consumption and cash withdrawals, 80% of the number of pferred and pferred products were more than half.

However, the balance treasure is not a patent for young people. 3.8% of Bao powder is over 50 years old.

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< p > in addition, at the beginning of the balance treasure line, the gap between the number of effective users of men and women was very large, reaching 21.8 percentage points, but gradually narrowed over time. Until the 10th decade, the gap was shortened to 5.9 percentage points, approaching the proportion of men and women in the whole country.

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< p > in most of the 31 provinces and municipalities, the majority of the men in the province hold more than the female or the equivalent. Only three places in Zhejiang, Shanghai and Heilongjiang hold more women than men, and the number of female users is also higher than that of men.

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< p > Zhou Weiguo, director of the big data center of Celestica fund, told the twenty-first Century economic news reporter that the Celestica fund big data center has more than 10 billion level of data processing capability.

As of May 26th, there were 5 billion 300 million basic data and 15 basic data dimensions.

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< p > these 15 maintenance also include all kinds of cross analysis, such as geographical and age cross analysis, and some involve many complex models, so the basic data reach 9 billion 600 million, and the data dimension is 35.

For example, the analysis of "customer churn" is based on the basic data such as simple customer pfer amount, turn out times, weekly / monthly behavior rules, withdrawals and consumption ratio. Celestica has also set up a customer churn LOGIT model. The single model uses 17 index variables, including 1 target variables and 16 candidate input variables, and uses data to record 960 million effectively.

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