Mining the most valuable customer base large data "money" unlimited

In a growing number of http://www.aliyun.com/zixun/aggregation/10527.html "> press conferences, a noun has been repeatedly mentioned-" big data "; In the acquisitions and mergers of various technology companies, The reasons for acquisitions often point to "big data". Big data is so hot, even in the recent closing of the national "two sessions", more representatives of the proposal to "development of large data" to the national strategy.

Perhaps ordinary citizens do not feel the impact of large data on their own, in fact, our work, life has been closely related to the big data. Such examples abound.

For example, each of us will use credit card shopping, credit card bank in the delivery of bills, sometimes also with some of the merchant promotional information sent over. If we look carefully, we will find that much of the information is exactly what we have been needing for some time, or at least for attention.

Taobao has become a lot of people can not be separated from the shopping venues, if you recently want to exercise, so bought a badminton racket, you will find that when you enter Taobao again, there are many areas on the screen to you recommend a variety of badminton, network cable and sports related equipment ...

Yes, these are the avatar of big data. The principle of large data is to obtain valuable information in large amounts of data through high-speed capture, discovery, or analysis. Relevant experts believe that this industry from Shari, it is expected to become a new growth point of information technology industry.

In the business world, massive amounts of data are emerging. Data is valuable, but is not every data has a great value, then how should the enterprise filter the data that they have value, how to adjust their own operation and operations through these data? Such questions are in the face of every business leader, and this is not a simple decision to make through the experience. Take a supermarket, for example, how many people go to and from stores, who make purchases, what products are mainly concentrated in, what brands are distributed, and the acceptance rate of special items. More specifically, through the supermarket spontaneous customer card, we can analyze the different age groups of people buying habits, looking for the most value-added return of the shopping crowd, in different time period of their shopping behavior, they buy products will stimulate their related or follow-up additional purchase? Through large data, all of these problems may be solved easily, so that business leaders can quickly and accurately make judgments.

Relevant research and data show that 2013 large data technology will be adopted on a large scale. Surveys show that more than 40% of IT leaders are determined to invest in big data, or plan to take relevant measures within a year.

At present, companies are confused about big data because they may need strategies and techniques for deploying large data, whether they really need large data, and how to measure and ensure that companies return on investment in large data areas. From the domestic current situation, most companies are still in the early stages of the acceptance of large data, they are gradually digesting the idea, eliminating the "big data is a gimmick" idea. After all, they have not yet been acutely aware of how big data will affect their infrastructure, their businesses themselves and their industries, and they have yet to see more powerful, persuasive and influential data on successful applications.

However, from the experience of foreign business field, more and more serious development and competition situation, the requirements of enterprises are bound to large data, otherwise it is difficult to find the most valuable customer base, thus in the competition with competitors defeated. Some companies that have been prescient and have tasted the "sweetness" of big data say for companies, it is crucial to develop a large data strategy in the last year or two, as there are new business opportunities in the big data that will allow businesses to perceive the "lost World" and reach out to the New horizons of development. Their experience shows that large data can be more comprehensive about customer preferences and needs, and through this insight, companies can find new ways to interact with existing and potential customers.

The future is "money". However, from the perspective of conversion to "money", but also need to pay unremitting efforts. This is not an overnight process, the need for production, learning, research and other aspects, as well as the government together, can usher in a better future of large data, will be China's vast number of enterprises to upgrade the transition to a new height.