"Big data" entrepreneurial boom business model not yet formed

"People who may be interested" "http://www.aliyun.com/zixun/aggregation/7998.html" > Guess you Like "" The person who buys this product also buys ... "When you're doing Weibo, online shopping, You will often see a hint at the appropriate location. These seemingly simple user experience behind, in fact, is bred to be known as "new oil field" large data industry.

Editor's note/recent year, "Big data" has become one of the hottest it vocabulary. 2012, the United States Government to implement a large data program, the United Nations issued large data reports, some cities or parks in China also announced the development of large data industry. Multinational it giants such as EMC, IBM, Oracle are publishing big data strategies and products.

Statistics, the total amount of data created and replicated in the world in 2012 amounted to 2.7ZB, which was 200 million times times the total amount of global data in 2002, with more than 85% unstructured content such as text, photos, audio, video, medical images, etc. The huge data contains unprecedented social value and commercial value, and its development potential is being favored by more and more people. "Data is a competitive advantage for any enterprise, and large data will be the natural resource for the future." "said the new IBM CEO.

In the context of promising future prospects for large data, many commercially based business models have been spawned, and this is becoming a hot area for entrepreneurs and investment institutions.

"People who may be interested" "Guess you Like" "The person who buys this product also buys ..." in your micro-blog, online shopping, often in the corresponding position to see as a hint. These seemingly simple user experience behind, in fact, is bred to be known as "new oil field" large data industry.

In the face of huge business opportunities, some start-ups have been bold in this area and have been supported by venture capital. March 28, the technology won the Arctic Light and Intel investment of 20 million U.S. dollars, this is after last year's investment in IDG, and together in the large data areas of the financing case. In the context of the capital market downturn, the big data in the field of entrepreneurial projects appear to be particularly eye-catching.

In fact, large data is a broad and general concept at the moment. Where to start, and how to build your business model is becoming an interesting topic for entrepreneurs.

Advertising is a primary stage

At present, the domestic data services are still in the initial stage, the new data services companies need to integrate a variety of capabilities. At present, from advertising into the most easy to get advertisers support a business model.

"Without data-backed marketing, it tends to get bogged down in the head and then without effect." Modern consumers will not easily take the bait, you need to eliminate their consumption habits and track, and then find hot business opportunities! Chen Yongdong, an associate professor in the new media field at the Shanghai Theatre Academy, wrote in the microblog.

Indeed, the advertising industry has a famous saying: "I know that my advertising fee is half wasted, but I do not know which half of" is the lack of data to the enterprise's dilemma. In the percentage point technology COO Zhang Shaofeng View, the past technology is difficult to meet the needs of advertisers, and now through technical means can completely solve the problem. That is to say, it is possible to spend money on advertisers.

Zhang Shaofeng said that in the past, the electrical appliance Business Enterprise to its users of the understanding is one-sided or a single dimension, that is, each site only understand the user's preferences in their own site, but can not understand the user's behavior and preferences outside the site. "What we're going to do is build a bridge between these sites that will help companies better spell their own user-interest puzzles," he said. Zhang Shaofeng said that once the consumer in a number of areas (such as shopping, information, friends, entertainment, etc.) data, you can through large data to build a comprehensive consumer interest map, and on their own website targeted marketing and push. This will not only enhance the conversion rate of the site, but also greatly improve the user experience.

Jing-Praise Technology, it is also the data services and advertising industry, its core products, "Crystal praise Radar" is in the professional data services based on the realization of the advertisers accurate marketing advertising system. Crystal Praise Technology founder and CEO Tang Qi told the "China Business newspaper" Reporter: "Crystal praise technology is very familiar with the advertising of the owner of the logic, our core ability is to build a variety of models, and then analyze the different dimensions of valuable information, in order to provide advertisers with effective delivery services." ”

Liu Ronghua, senior partner of Beijing University, said that the company's business can only be described as large data in the advertising marketing industry, and in fact, the large data industry is far more than these, its value and influence is much greater. It can be said that in the future, there will be no decisions that are not based on data analysis. In other words, the large data will affect all aspects of our social life, so qualitative analysis will become a habit.

Reporter learned: large data including data sources, storage, computing and processing and applications, and many other links. In the view of Tom Qifeng, at present, the development of large domestic data is still in the initial stage, the new data service companies need more integration capabilities, only when the industry developed to a certain extent, can further subdivide, and from the ads is the easiest to get the advertiser support a business model.

But Zhang Shaofeng also said: "At present, the most difficult is to allow more enterprises to recognize the value of data analysis, and thereby improve the overall social recognition of data services." "It also takes a process to keep telling Target customers the value of their data services through different cases," he said.

(Responsible editor: Lu Guang)