Is big Data a bubble?

Source: Internet
Author: User
Keywords Big Data knowing
Tags analysis application big data business customers data error it is

It is not a bubble from Japan's current application.

Can we not say the other people abroad who said what,

Let me say something about the feelings of my own time.

All right, uh ... I mean, I said something about my own project.

He is not bubbles and we have nothing to do with him, he is only a means of solving the problem.

And we use him to solve the business problem is the real purpose. The process and what he is is all right.

It's not that he's not bubbles, he can solve the problem.

Or he's a bubble.

He can't solve anything, can you count on a tool, a means to help you do? The ultimate goal is to solve the business issues and generate the benefits.

There is a bubble is not very good to solve the problem, there is a very big start, gorgeous pass, and confused the results of the mind. And then because we are not operators of a lot of enterprises operating in particular deep things can not touch the understanding and then repeat the cycle of this error.

So it's not "simple to rely on big data to make you happy."

But "adding to the growing sophistication of the data these years has greatly accelerated your chances of a happy ending."

In other words, his system is a good way to provide support for solving problems ... Attention is to support, not alone he has solved.

Let's get to the point.

Most enterprises to solve the more common business problems are through constant trial and error, but with the enterprise (large) data analysis to do guidance error probability will be reduced, the effect will be more targeted better.

Of course, the analysis of a pass, the results of the things to connect the actual knowledge is very vague, this time do not rush to apply to practice, leaving this part of the fuzzy knowledge.

In other words, our company always shout: Do not "analyze for analysis", "in order to apply the results of analysis and practice." Because the lessons are bloody.

Mining and analysis is not an end, "through the excavation and analysis of real understanding of reality", "The knowledge is very clear" so that customers "improve business" is what we want.

So? So there is no commercial sense, do not understand marketing, do not go to the scene (customer side), made out of things not realistic, give a pass not to meet the cost and high solution, you are analysis of 100 customers There is not love with one.

Understanding this will enable the so-called "large data services" to do less water, that is, to create more benefits for customers.

At that time, even if most people around the world said he was a bubble, why not, blush a ...

Must be with practice ....

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