Cold thinking "Big data" books hot

After experiencing the "Blue Ocean Strategy" "Long Tail Theory", the view of the system of enterprise management is "big data". In contrast to the strategic thinking of business management in the past, large data more with strong technical color, is the enterprise in the management and innovation, more and more attention to rational analysis and technical means of the results, the main support behind it is that the Internet and the rapid development of e-commerce industry, has made all walks of life began to think, How to use the Internet in the marketing thinking, how in the information age to their own enterprises meticulous management.

IBM summed up the big data into 3 V: Mass (Volume), diversification (produced) and rapidity (Velocity). These features generalize the basic features of large data and also reflect the underlying value of large data. Big Data reconstructs the way we perceive the world and life, but for each of us, what does big data mean, how do we embrace and embrace this era?

Books related to large data are popular with readers, this fully illustrates that large data has been highly valued by all sectors of society, but as Cheping, vice president of Alibaba, said: "Now, the concept of large data is in a mixed era, the media is full of various reports on large data, but there are some far-fetched, impostors speech, Some media even put simple statistics on the title of ' Big Data '. "Mixed" not only can be used to evaluate the current media on the big data of the comments and views, but also describe the current situation of large data books. At present, with large data as the theme of more than hundred kinds of books, its content is mixed, so that readers have "disorderly flower gradually want charming eye" sense.

Large data books are part of the reading group for enterprise personnel, for them, in the process of using large data should pay attention to a lot of problems. Lei, chief executive of Millet, said, "in the big Data age, personal privacy protection is the focus of user attention, to effectively prevent personal information leakage." "In the era of cloud computing and large data, the collection of user personal information must be licensed by the user." For enterprises, to eliminate the user of malicious harassment and dumping, to eliminate the "human flesh search" violations of other people's daily life behavior. If the original scattered in the intermediary, bank, insurance, airlines and other institutions of personal privacy data, after being shared by the information, but also by the system integration, mutual confirmation, consumer basic information, and even personality, hobbies and life track information will be at the glance of others, users will feel like "transparent person." Originally for the user to develop intimate personalized service, once being used by unfamiliar enterprises, will become the main reason for users to flee large data.

In addition, I want to say to readers who are passionate about studying big data, big data can really help people predict future trends, but that's not to say that the future is hidden in big data, and that the bright side of the future must be about genius innovation, which, based on historical and realistic data, can only provide direction and possibility, Can't be a model or a fence, and the case of past data-accumulating failures is not likely to be a new and bigger success--the BlackBerry's smartphone didn't scale, but Apple's iphone was an unprecedented success. To a certain extent, the entrepreneurial enterprise actually more needs the creativity and the marketing promotion, because it requires enough time to let users know their products, and this, often can only rely on people's intuition and perseverance, after all, the purchase impulse of each consumer, not after reading the data analysis report before the production, and convincing consumers of the work , the big data is still difficult to be fully qualified.