What are the most valued and valuable data for giants in various industries? Here to share with the gods, I hope to help you plan the collection, but the data involving privacy, please do not touch, do not try the law, or you will pit yourselves or your boss to stay for 3-7 years, that ...... really miss a lot of data ~

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Tencent's user and social data

The best game or application will face the iteration of the update, in order to fire a little longer will inevitably be inseparable from the social. QQ and WeChat, the butt of the social attributes of the game or the application of the necessary channels, such as the happy to eliminate the game, the glory of the king, the national K song, every day P picture, etc. which can be The first time I've seen a game, I've seen a game, I've seen a game.

This is also the core value of Tencent, the game is very key to do well, but a strong social will greatly embellish. Take a look at Tencent's comprehensive results for the first quarter of 2017: revenue of 49.552 billion yuan, profit of 14.548 billion yuan during the period, that is to say, an average of 160 million dollars a day! The rich can enemy province na, the focus came, which earnings big head or from online game value-added services.

Wang Jianlin said we should set him a small goal of 100 million yuan, which Tencent accomplished before the end of the day.

Ali's merchant data

There is so much valuable data in the Ali system, after all, it's too broad. But if you really want to trace the origin, perhaps you can count on the e-commerce supply chain data, that is, the merchant data (public information, non-private data) that everyone commonly used locomotive collection. Transaction data to one side, because as we all know, Taobao is the pioneering platform for e-commerce, and later similar platforms to do even more hard work, has never been able to catch up with Taobao's huge supply system, there is no merchant, then the user's first feeling is that the selectivity is small, and decisively give up. This point, take a look at pat.com is very obvious.

Douban's rating data

If there is no rating data, where will Douban lose users? Think it would be Time.com (what the hell is Time.com, you may ask?) Because Douban's strength lies in the high engagement of reviews, but the quality of reviews has been criticized by some as less professional than Time.com. But the quality of the reviews has been criticized by some people as less professional than Time.com, but it's not easy to comment on whether it's professional or not for someone who simply wants to watch a movie and hasn't yet done so, so in this case people will always choose to stand on the side of the "crowded" side, for the same reason people choose Taobao to give up PatPai, because the pioneer, Douban, took the lead in cultivating a good supply chain for the information.

For example, in the case of Late Night Eating Hall, which recently received a low rating of 2.3 out of 40,000 ratings from Douban, I decided to give up, and I don't know who would want to savor the 70 reviews on Time.com, even if they are very sophisticated.

Knowledge of the quality of the information flow

Knowledge is a content-based community, rather than a relational community, with the square effect of the microblogging is different, and social attributes of the QQ space is also different, so the user data does not see so important (of course, is not completely unimportant), but rather, the organization of the content is much more appealing. So although we have previously known the user profile of Zhihu, but also for entertainment purposes only, compared to the locomotive god in the capture of Zhihu Q&A content to be a little more.

Baidu's search data, positioning

Baidu's search-based big data is presented with the function of mining, prediction and correlation, based on data rather than purely empirical judgment, such big data thinking makes Baidu's value to a higher level.

Baidu's positioning data can be used to sense users' offline mobile behaviors, which can be used to study crowd migration, business district analysis, business location, routing, navigation mining, etc. Baidu's migration data, such as those from the Chinese New Year, truly reflects Baidu's mastery of big data and its ability to use technical processing. Applications such as travel, O2O, local news reading, and location-based social communication are all in demand for location data.