Don't be blind, authentic big Data thinking is here!

Not only look at the pictures, but also the words and the real dry goods.

Above is 100+ mobile phone's latest network map, it is scattered in the network spread, when you open "郝闻郝 see" This few seconds, it has been transmitted and reproduced in the Internet n times, this is the power, let information constantly expand and self extension, but also create more data.

According to Alibaba vice President, data Committee president Cheping, this is the normal social data, it determines the era of data analysis of the characteristics of the tide-Leng noble grounding gas, unrestrained flavor depth.

You know, Windows95 age data analysis, MB scale; Google search era of data analysis, GB; and in the social age, data analysis is TB level, often thousands of orders of magnitude of growth, to now, nature has become the "big" data analysis, large in the number of data levels, Also large in the diversity of data dimensions, in addition, more emphasis on veracity (authenticity), velocity (timely speed), and then, large data analysis can really "can be implemented", "interpretation" and "data accurate, stable."

A lot of ideas, huh? It's abstract! Sorry, little Shang can only tell Shanyu, these concepts are the basis of large data thinking, without them, talking about what big data are roots, source. This is the second time to listen to Shang teacher sermon, in Shanghai, "Forbes" forum. Unlike last year's interview, this time a number of industry veterans of the discussion, the collision of ideas, showing large data thinking in practice sparks.

The question is the answer, you understand?

The question is the answer? Yes, big data thinking is about asking.

Taste said a case--before, the southern grid has been consulted, they collect the time of each household electricity data useful? Tasting thought, ask each other, can use different time period of electricity quantity data, to estimate whether the big household appliances have the breakdown, the electricity grid person replied that may, then can derive the service which is aimed at, reminds the homeowner "the electrical appliance may have the breakdown", the early maintenance, avoids the short circuit, the fire and so on and further, if you can understand the brand of household appliances, models, more can tell businesses, the geographical distribution of related products, the actual failure rate and so on data, these to their production, sales and has great significance ... Isn't that big data thinking?

The founder of the network of points, Guo Aerospace, shares the first case, he has been to the famous Peer-to-peer network loan peer Lending Club to study, in the early years, the Lending Club has been collecting some seemingly useless data: for example, the time users surf the Internet, fill in the loan application form, but later, the time is long, The Lending Club found that these statistics are closely related to borrowers ' default rates--people who are always on the internet in the middle of the night looking for loans, they may not have very stable jobs, and those who fill out the loan application form soon may be less cautious in their lending, and their motives are worth examining ... Seemingly useless data can finally show great energy.

So, to see the data is not important, the key is how they should be used to show the value of the place, so that the boss more understanding of the business operation of the various sections, so that the wind control more risk-controlling angle, so that runners know more about their body parts of the State ... Well, the big data is for you.

Between the hypothesis and the answer

Two more jokes:

If Jing Dong founder Liu to you to "weekly", what kind of weekly report do you want to make? Tell him: "The tomato as the representative of Raw fresh do very well", or: "Tea business promising"? It's not right, you should take the week as the unit, review the tasks that Liu arranged before, where to do well, why good, where there is a problem, why such a problem, what solutions, the best solution is what, why, the current electronic business environment, what are the important changes, Jingdong needs to do how adaptive changes ... Without accurate assumptions of large data analysis, even with the results, can not convince Liu such a big guy, because the first direction is wrong, assuming horseshoes, the results striking. Use big data to please the leader? Watch out for the horse's butt.

Another internet company executive said that Ali investment Youku, the next day the stock must fall, "This is my big data." "Yes, the next day the cool stock fell, but this is big data?" True nonsense, do not rise on the fall, that is, 50% probability must guess right. Large data analysis is not a guess right, to the second "guess" is really big data analysis, more core, to "guess"--rose, how many points, fall, how many to fall. Otherwise, than Shibi is not reliable, how can it be large data? Small Shang personally feel, pretend to know, it is this group of people filthy big data of the beautiful vision, is "bad currency expel good currency" variant, SB XI XI. (Please forgive the little Shang and curse again)

Visible, do not understand the hypothesis can not find the answer, the answer can not prove that the big data thinking, in a rigorous mathematical system, bold assumption, careful verification, adjustment, alignment, is to seek large data positive solution, although it is doomed will not be flat.

(Responsible editor: Meng)