Who can find "gold" in big data?

2012, everyone is talking about, big data will make us have a higher chance to accurately understand, predict what we want to know, big to Obama campaign, Oscar awards, small to customer purchase tendency, network marketing, huge amount of large data hidden in all we want to know. We are so eager to get the data to answer our "100,000", but there is no magic "data brother" like "octopus Brother", the big data will become empty talk.

Large data for the Internet and from backstage to the foreground, but the data is only a massive, disorderly and unlimited growth accumulation, it does not understand the human social feelings, do not know how to narrative and thinking of the emergence of the process, but only objective and unrestricted to change what happened to the data password. Yes, the data itself does not fully represent the end of the whole and the result, but provides us with a maze that hides everything, including the gold we want. For example, for marketing, the gold is looking for the present and future accurate marketing strategy and strategy; for the enterprise, the gold to seek is to use data to drive business process and product function, obtain new insight from the data, and combine it with the various details of the existing business, realize the management of large data, Decision。

Whether you can see the answer from the big data, or whether you can find gold from the maze of large data, ultimately depends on the person. This person, or team, or enterprise, needs to be adept at interpreting data skills and having the right data values and a clear understanding of goals and directions. "Octopus brother" as long as in a few options to choose one, without the massive and three-dimensional maze crawl, no need to understand the ins and outs of events, entanglements feelings, but also without the accuracy of the prediction to drift. and "Data brother" to know all this, only then can not only answer "what", but also to read "Why", "what is next."

To get out of the illusion in the data maze, to choose, excavate and interpret useful and valuable information from the vast expanse of data, the biggest obstacle will not be technology, but human, culture, process, values and other seemingly irrelevant things. Will enter the large data maze of enterprises, the future may be a large part of the focus on the establishment of scientific management concepts and decision-making mechanisms, for example, what strategies, processes, and methods are needed to nurture which skills, business logic, areas of large data applications, problems to solve, etc., which will make the "Big data" Value does not stop at revealing a fact, but further insight into the cause and effect behind the fact. And for large data industry, the deep analysis of large data processing, consulting, large data reuse and deep utilization is still in the first step of the stage, in addition to the enthusiasm of large data, more need to study the application of the field, industry, enterprises have enough understanding.

After the broad understanding of the concept of large data, the 2012 Big data and 2000 and after the rise and fall of the Internet, the ups and downs of the current hot spot. This is a good thing, because it shows that the industry is keen on the big data from the enthusiastic pursuit of rational thinking and then the implementation of the march. Only in this way, large data will be faster like the Internet as the daily life, business management, social development of the normal tool.