Millet Big Data more reliable

Source: Internet
Author: User
Keywords Large data staff work

Millet Forum in a short period of four years, with registered users 20 million, the total number of posts over 200 million. Among them, the operating system MIUI collected hundreds of millions of user feedback stickers, posts printed paper can circle the earth. 200 million user feedback paste, is not large data? Of course, is the customer opinion, the proposal of the true expression, is the demand, the direct statement of the problem, is the gold content of the large data, is a lot of mobile phone manufacturers envy large data.

Was dubbed "Millet Word-of-mouth Marketing Internal Handbook," the "sense of participation" on large data, I did not search to lei in the public about the millet model mentioned large data. But this does not mean that LEI does not value big data, and as the National People's Congress, his 2014 proposal is the proposal for a national strategy to speed up the implementation of large data. I thought millet is one of the most successful enterprises in the current big data application.

Big data behind is a huge number of customers, to allow a few employees, the real face of millions of, or even tens of millions of customers, which before the advent of the internet is almost impossible.

Traditional media can also face a huge number of clients, such as People's Daily, according to official figures, January 1, 2013, the daily circulation of more than 3 million copies. But this is one-way, only the people's daily has passed the party's voice to everyone, and the idea that more than 3 million readers (or even more, 1 of them) could not be fed back to the people's daily; even if everyone wrote to the People's daily to express their feelings, there was not enough staff in the daily to dismantle the letters, There are not enough pages to publish these letters.

The emergence of the Internet, especially the emergence of social media, so that enterprises, employees face a huge amount of customers become possible. Let's take a look at how the Millet forum handles a huge amount of user needs: first of all, in the forum to do the appropriate post auxiliary function, to help users to format the submission requirements; second, users encounter the same needs, can directly follow the expression "I also need this function." In this way, every week down the emergency function development needs will naturally be ranked in front of the post by the heat. Millet moves data before data generation.

The small button in the Millet forum-"I need this too"-is the top of tens of thousands of people's daily letters to the main point of view of the statistics, top of a few "focus group" discussion of the collection of customer needs. This small button, will have a similar expression of people gathered together, millet employees on the issue of the reply, all people can see, do not need to reply. This is the power of big data. Of course, big data technology is far more complicated than this one.

Cheping, chairman of Alibaba Group data Committee, said: "The essence of large data is to restore the real needs of users." Instead of looking for customers ' opinions and needs in the data, why not let companies and employees directly face customers? Millet more revolutionary approach is to require staff to bubble forum, brush Weibo. In millet, bubble forum is work. For those who think that millet customer service face users on the line of engineers, Millet co-founder Li Vanchang once said: "In millet can not do so, if you do not understand, you take it as a job assessment", and millet is no KPI assessment. This is in the final analysis, let employees soak in large data, bubble in the customer heap.

Bubble Forum can understand customer needs, collect product issues, can reply to the user's comments, suggestions, can also cross-examine user issues, with the user further communication. Millet staff Bubble Forum, so that the forum on the millet users feel cordial, their voices are listening, their views may be adopted, millet focus on creating a sense of participation is revealed. This greatly encouraged the Forum users active. Through the forum, millet users really participate in the product, marketing design. This brings an enterprise and users to win the situation, the enterprise according to user opinion to improve the product, the user also got the function and products they want.

More importantly, the bubble forum to achieve staff incentives. Employees are more motivated by the fact that a cold, large number of data is uploaded to the staff to guide their work, and that employees are able to apply the data directly to their customers and work together. Millet employees directly face customers, feel the emotions of customers, and customers to build feelings, and customers to be friends. Employees are developing products for friends, service for friends, accept friends praise and criticism. This is the recipe for millet without KPIs: work-driven really comes from user feedback.

Simply put, the millet-type large data, is to move data processing before the date generation, is to let employees soak in large data. Millet of these two-point practices to help millet practice the user participation, the implementation of the KPI outside the staff work-driven. In everyone shouting but do not know how to do the big data today, this is more reliable, more operational large data application cases, it is worth learning from.

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