Cloud Base Yi: Four business models for large data

The 2013 China service outsourcing leader's annual meeting was held in Tianjin March 20-March 22, the theme of this conference is "China's service outsourcing industry under the great change", dispatch the whole broadcast. Yi, a partner at the Big Data Lab at Cloud base in Beijing, said that diversity, capacity, and speed were characteristics of the big data age. Behind diversity is a reduction in the unit cost of the entire data, which means that access to data is beginning to increase, and this has become a variety. In the past, we can only say that using a computer to record core systems, including financial systems and so on, is now a very rubbish message, such as the data on Internet forums.

The following is a transcript:

Yi: Over the past two years we've been discussing with all kinds of people what the big data is. What is the future of big data? I am also excited to have the opportunity to participate in the forum of service outsourcing leaders today. This is actually my first time with you to do the service outsourcing communication, all walks of life for large data have different definitions, large data if the computer society has a large data committee, is now running a variety of forums this year anthology, and even a selection. Some people say that the big data is a big bluff, then we say big data is really a big trick, or a true science?

One of my basic thinking is that big data is neither a big bluff nor a science. My speech from the direction of a big trend and you share large data now in what position? What stage will the future develop?

First of all, the first film, Guo has also shared a wonderful speech, the whole big data behind the driving force is a technology drive. Because the whole, whether Marxism or a variety of views inside, will go to the historical development of the big law is what? Moore's law is now unchanged, and after a fixed period of time, the whole ability is doubled.

I'm giving you a formula:

Storage price drop + increase in computing power + bandwidth + perceived decrease in cost = large data.

I've heard a lot of big-data-related speeches this year, or the forums that often mention three V, diversity, high-capacity, and high speed. Behind diversity is a reduction in the unit cost of the entire data, which means that access to data is beginning to increase, and this has become a variety. In the past, we can only say that using a computer to record core systems, including financial systems and so on, is now a very rubbish message, such as the data on Internet forums.

If the phenomenon of large data to our meaning, I quote a picture ("Blue sea" where?) PPT), refers to the concept of a transition service, which has a dotted line, is a customer over time, to a product requirements are what kind of, however, this implementation is the development of technology, can achieve a degree, if the development of technology in the first time, The technical capability at that time is not enough to meet the needs of users. In this case, the user is willing to pay for better technology, which requires performance differences, we use a more high-performance solution, better solutions to earn value.

With the development of technology, when the product performance of technology exceeds the development of the user, can meet the minimum requirements of users, performance surplus. User demand for the entire performance, the demand for the product from the performance change, shift to the demand for low prices, in this case, (the future of the "blue Sea" big data ppt) I this map cites the core competencies concept, dividing ICT into four levels, the bottom is the infrastructure layer, which includes the entire communication capacity, Computational power. The second tier is the IT architecture, such as servers, and the third tier is the ability of it applications, including some of our cm systems; the Forth is analyties. But in this case users are more concerned about performance, I think the future of a core competitiveness of the source is a large data level.

The whole data and analysis is very little to mention large data, I think the core of large data is not the size of a data, but the use of data to create a greater value. However, if at the top level, a few competitors adopt a relatively new way of making decisions, and in this case can give him some of the core competitive advantage. At the same time, the company will adopt similar technology, which produces a race-by-game process.

So the future I think the data economy occupies a pivotal position, if the traditional economy is probably before the internet era, more traditional economic model is that we provide customers with a product, or provide a service, and then users directly to the product or service payment. The internet is a new business model, not directly charged to the user, but by providing users with services to gather the end of the user, at the same time through the attention of the end users gathered through the form of latter services to obtain profits.

(Responsible editor: The good of the Legacy)