Entrepreneurial direction, business model and investment opportunities for large data
Source: Internet
Author: User
KeywordsLarge data business model investment opportunities entrepreneurial direction through
Cloud computing and big data will be destined to bring about a revolution, both for society, for corporations and for individuals, and for a change in worldview. The dual push of technology and demand will enable more and more government agencies, companies and individuals to realize that data is a huge economic asset, like money or gold, that will bring new entrepreneurial direction, business model and investment opportunities.
Starting at the end of 2011, Big Data has become a fashionable term in the industry. So what is big data?
The world's data are made up of two categories: transactional data is linear, in the context of Newtonian mechanics, generated and logically calculated by the right brain of rational thinking, such as bank financial transactions, operator billing information. Large data, then, is discrete, belongs to the category of quantum mechanics, from the left brain of perceptual thinking generates emotional class information, such as http://www.aliyun.com/zixun/aggregation/1560.html ">facebook these portals, Search for user-generated information for Web sites and social networking sites.
The model of the existing Big Data company is the three kinds
First, companies such as Amazon, Google and Facebook have a lot of user information to solve their company's precision marketing and personalized advertising promotion through large data analysis of user information. Such companies will change the fundamentals of marketing, precision marketing and personalized marketing will be targeted to find users, multiple channels of marketing will gradually disappear.
Second, companies such as IBM and Hewlett-Packard, through the integration of large data information and applications, to other companies to provide "hardware + Software + data" as a whole solution. This type of company will change the company's management philosophy and strategy formulation, no data analysis to support the decision will become increasingly unreliable.
Finally, emerging start-ups provide a single solution more targeted by selling data and services. These companies are closer to the model of commercializing and commercializing large data. Such companies will commercialize large data, which will lead to a new wave of entrepreneurship and industrial Revolution following portals, search engines and social media, and will have a strong impact on traditional consultancy firms.
I think there will be a new business model, just as the internet creates a series of business models of search, E-commerce and bidding, and big data breeds more new types of companies, which is why big data has the most investment potential.
Barriers: "Mobility" and "availability" of data
The challenge of large data is cross-industry and cross-cutting. At the same time, the biggest obstacle to big data development is the "liquidity" and "availability" of data. In 2009, the U.S. government created the Data.gov Web site, opening the door to big data that the public could access through the site. Now there is also a "data Disclosure" campaign in India. China has to catch up with such a change in data, starting with the government's disclosure of data, followed by businesses and, finally, individuals.
Cloud computing and big data will be destined to bring about a revolution, both for society, for corporations and for individuals, and for a change in worldview. The internet is no longer a tool or platform to show the company, but a future mode of production, which is the key to competition and survival. Like the industrial economy, people cannot refuse to use electricity; the personal computer age, the company can not refuse to use the computer office; Big Data will bring a change in competition, when your customers are on the Internet, your market on the Internet, if the lack of customer data to judge the market understanding, the lack of core competitiveness- The IQ of the enterprise. Governments and individuals alike need to embrace the advent of the big data age.
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