What does big Data do?

Big data, it's pretty hot this year. This concept can be loaded inside a lot of things, but also can make very academic, but these are not important, the important thing is that enterprises in the large data, there is no chance of making money. Even if it is not enough to make money, after all, big data in the United States has been recognized as an industry type, drilling into large data in this basket, it might be easier to get investment.

For domestic mobile internet entrepreneurs, big data is Taobao Daily transactions, is QQ chat, is the micro-Bo generated garbage, Google is running on the keyword, is a conversation on the Mo, but also GFW lost those moral integrity. Compared to the traditional data mining, large data is chaotic, disorderly, fast-updated, and immense. So far, it may be possible to enter the biosphere of large data from the following links.

Marketing and http://www.aliyun.com/zixun/aggregation/34981.html "> Precision Advertising Services

Mobile advertising is now disappointing, the key is not to put large data into the system, advertising on the mobile terminal, if it is still the traditional bombardment-type, that must have no future, only based on large data analysis, building a self-learning ability of the dynamic self-consistent system, to achieve the data and requirements of the precise, intelligent matching, In order to make ads become the audience's personalized guide information.

Big electric dealers are now crazy like a stick in here, Taobao Big Data department boast of "Boundless God needle" business, is the representative of this business. But looking at them in the media is not much like the Big Data business unit, but the big Bluff department. But also to the domestic marketing culture, is still the first. So big data has to be standard for all mobile internet advertisers in one day, as long as your company pulls a person's business card and prints "chief data scientist" on it.

In fact, with large data platforms, such as Bat three giants, have big data this system process in the company, or CEO's head hanging machine. One of the slowest is Baidu, itself has such data and demand, but to do today 100 years later, but still rely on cheat keyword bidding rankings alive.

Looks like this is no entrepreneur. Not really, now, like micro-blogging, these open platforms give entrepreneurs the opportunity to touch big data, so there is the possibility of selling new marketing tools and methods from these things. It's probably not all-inclusive, it's some sort of vertical industry gadget.

Data analysis methodology and tool integration solutions supply industry

This is basically what the McKinsey Ah, IBM ah these big things in the work, the domestic to come out estimated to have a certain degree of difficulty, and the buyer of this demand, are big guys, CNOOC Ah, Huawei Ah what, it is not expected to look at domestic things. So entrepreneurs skip this type directly.

Consulting Services

The reports and data of these companies have nothing to do with large data, and advisory services based on large data should be multidimensional data in the three-dimensional world, even with temperature, taste and a variety of strange things mixed in.

Multidimensional performance is very specific, first of all it has a traditional linear expression, such as a ratings survey, through 600 video applications, a total of 200 million users, customers get a result: in the morning they do not watch Korean dramas. Then expand a dimension, watching Korean dramas, 89.64% of the users are using Samsung mobile phones, 2% on the micro-Bo is the relationship between the powder ... Each of these dimensions unfolds as soon as the customer needs it, and constructs the intrinsic logic of the requirements.

This business has a certain opportunity for entrepreneurs to weigh, how to get real-time data at low cost, and the business point that needs to be focused first. Perhaps at first it does not need to be too multidimensional, a three-dimensional pyramid data structure system, which can now be used to get the linearity of the dead.

(Responsible editor: Schpeppen)