Two big bottlenecks to be spent on the eve of Big data explosion

Earlier this year, the New York Times article said that the "big data Age is coming" large data is a language with cultural genes and marketing ideas, but it also reflects the evolving trend in the field of science and technology, which opens the door to a new way of understanding the world and making decisions. According to IDC, a technology research firm, the data has been growing at a rate of 50% a year, in other words, one-fold every two years. This is not a question of a simple increase in data, but a new issue.

With the rapid development of Internet technology, human's offline behavior gradually migrate online. In the past, people's communication, social intercourse, the office and the daily life scene and other physical behavior in the growing strong technical background will be all digitized, the reality scene digitized to the line, to the individual means to be able to obtain the personalized, the wisdom service, to the enterprise means does not have the painstaking effort to understand a customer past transaction record, Just look at some of the customer's past transaction behavior data and immediately determine whether the customer is worth cooperating.

These personal behavior and business transactions through the accumulation of accumulated data, regardless of capacity, type or speed and the past has been different, Oracle Greater China Technology general manager Sishing said: The data source in the big data age not only traditional structured data, but also unstructured data. The requirements for large data processing methods are completely different. We do not want to completely subvert the data management and processing system, but to add new ways of dealing with the original foundation, to form a more complete system

A large number of data behind the emergence of a new industry changes in the eve, through a large number of data mining, collation, analysis, use and realize the value of data, is currently the industry's focus on the topic.

After the reporter interviewed a number of enterprise CIO, most enterprise CIOs believe that the domestic use of large data behind the industrial value of the industry is mainly concentrated in the financial, telecommunications, energy, securities, logistics industry, other industries to talk about the value of large data is premature. Although there is a dissenting voice, it has to be admitted that in the current wave of rapid technological change, the emergence of a large number of data has become an inevitable trend.

In many other areas, such as science and sports, advertising and public health, there is a similar situation-the shift towards data-driven discovery and decision-making. "This is a revolution, and we are really doing it," said Gary King, dean of the School of Quantitative Social Sciences at Harvard University (Cato for Quantitative Social). The rapid spread of business and politics. No area will be affected. ”

The most common type of enterprise data is customer data and transaction data, the study of Ventana Research, a market analysis firm, shows. The most frequently analyzed unstructured data sources are the application of system logs and event data, such as RFID tag information, network traffic and monitoring data. But the fastest-growing unstructured data is textual information on a variety of social media.

But the value behind the data is the hot topic of current industry thinking and the big data challenges that need to be faced next.

First, the emergence of large data to create a bottleneck in the industrial talent gap, in the implementation of large data projects, the survey companies generally lack the relevant technical capabilities. More than 75% of companies say there are barriers to people and training, and that people who open up big Data technology Hadoop are hot, but difficult to find and expensive. Other technical challenges include real-time data processing, integration of large data with traditional bi and data warehousing tools, and data security.

SAS software general manager Liu thinks: Big data serious talent shortage, European and American companies are also looking for talent in China, but they do not know China's own big data talent is even less. The competitiveness of a country in the future is largely determined by the analyst, who makes decisions through data analysis. So the level of analyst is very important to the competitiveness of the country and the enterprise.

Secondly, the problem of business model, an industry to obtain a benign development, the need for a good business model to drive to sustainable development,

There are experts in the industry to say that the data needs different business models to drive, before landing also need to refine and deepen, especially the specific application of the industry, but also some people think that to understand the business model, the value of the foundation, with a business model, large data models, algorithms have a direction. As with beer and diapers, the direction of data value is revealed by this rule.

(Responsible editor: The good of the Legacy)