Large data-knowledge, real value embodiment

The large data age presents new challenges to human data-mastering capabilities and provides unprecedented space and potential for people to gain deeper and more comprehensive insights.

Gari Kim, a sociology professor at Harvard University, said: "This is a revolution, and huge data resources have led to a process of quantification in all areas, whether academia, business or government." ”

"The ecological environment of the big data industry is accelerating. Mr. Li Xiaohua, Vice general manager of the Internet application Industry Department of the same company, said at the 2013-year partner conference on the theme "Embracing a new era of big data" and made a detailed analysis of it.

First look at the social environment. Information technology to the integration, wisdom, the direction of green development. With the development of cloud computing and mobile Internet, large data brings new management model and business model, which can create greater value and improve the management and efficiency of the society. Throughout the development of industrial economy, the technology of application must be able to develop prosperous industry.

Look at the policy environment again. The Government attaches great importance to the goal of development strategy clearly and clearly. Recently released a series of policies to promote the development of large data industry. "Twelve-Five National Strategic Emerging Industry Development Plan" pointed out that, to strengthen the technology software development represented by mass data processing software; "Twelve-Five development industry Planning", the large data processing as 4 key technological innovation projects; The opinions of the National Development and Reform Commission on strengthening and perfecting the management of national e-government projects , the construction of the government data center pays attention to the top-level design, to the cross-sectoral, Cross-regional synergy and resource sharing transformation.

Market environment. The prospect is huge and the space is vast. Based on the study of China-related market, IDC believes that China has great market potential in large data fields. More and more IT vendors are developing China as a hot spot for large data business. China is already the world's largest PC and smartphone market, and the number of Internet users and mobile Internet users is the largest in the world, and these terminals create data on the Internet all the time. The huge data capacity not only makes many international manufacturers attach importance to the Chinese market, but also makes China's large data applications have different characteristics from foreign countries, the opportunity of large data is in front of us.

"Data, has penetrated into today's every industry and business intelligence field, become an important production factor." The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus. McKinsey said.

The significance of data mining

This is a story about the retail empire Wal-Mart.

Wal-Mart, the world's largest retailer, has the same number of employees as the U.S. federal government, whose revenues topped 400 billion dollars in 2010, surpassing the gross domestic product of many countries. After a routine analysis of the data, researchers suddenly discovered that the most purchased product with diapers was beer! This is a puzzling relationship, a diaper drinking beer is irrelevant, this is a real rule?

After a follow-up investigation, the researchers finally found a reason. Some young dads often go to the supermarket to buy baby diapers, and 30%-40% of dads will pick up a beer to reward themselves, and Wal-Mart subsequently bundled beer and diapers, not surprisingly, with sales increasing.

This is the result of mining historical data, reflecting the data level of the law. Wal-Mart is one of the first enterprises in the world to apply data mining technology, and also a synthesizer of data mining technology.

Data mining refers to the automatic analysis of a large number of data through a specific computer algorithm, which reveals the hidden relationships, patterns and trends, and provides new knowledge for decision makers. Data mining, the scope of data analysis from the "known" to the "unknown", from the "Past" to the "future", its development and maturity, and ultimately promote the "big data" in all walks of life widely used.

As the New York Times February 2012 column says, the "big Data" era has come, and in business, economics and other areas, decisions will increasingly be based on data and analysis rather than on experience and intuition. With the popularization of information management system, the scale of enterprises is becoming more and more complicated, the market is more changeable, the competition is more intense, the information is timely and accurate, the decision is correct and reasonable, the influence on the organization's rise and Fall is more and more big, one step wrong may lose the whole.

Data Services to decision making

Big data is unstoppable, but hard to do. How to play its value? Herbert Simon, the world's most influential scientist in the 20th century, predicted that in the post-industrial era, the information age, the central problems facing human society would shift from how to improve productivity to how better to use information to aid decision-making.

How to transform data and information into knowledge, enlarge human rationality and assist decision making? How to extract and integrate valuable data from each independent information system, so as to realize the transformation from data to knowledge, from information to knowledge, from knowledge to profit.

Facing the reporter's question, the vice President Zhou Xia and the vice general manager of the IoT application Industry department Li Xiaohua to the same side big data idea to do the depth interpretation.

The large data strategy proposed by the same party with "Data resource system" makes up for the gap of management and decision support in the past in different industries. Six product application platforms for typical business requirements are the six most important nodes in the process of data generation to service, each of which is a series of products. A series of resounding ground practice as well as "index system", "Top Design", "independent of the industry" advanced technology concept enough for enterprises, institutions in the implementation of specific business has "according to".

The data resource system is independent of the industry, which is the core point of the same party's big data idea. The way to do this is to build an industry-independent generic data production process that extracts the same data resource systems in different industries. Although the business of different industries, the resulting data and its supporting management patterns vary widely, but from data acquisition, data integration, data processing, data integrated application, data services and promotion, the lifeline flow data processing analysis, all industry patterns are consistent. If you are between business and management in different industries, increase the data resource system, data processing through data resources system, connect today's data and historical data, connect the current data with the indicators of concern to the leaders and enterprise organizations, transform the business-oriented data into management-oriented data, and support the decision of the leadership. Actually realizes the transformation from the data to the knowledge, such data resource system is very suitable for the management and the decision-making use.

Zhou Xia, vice president of the same party, said that the data generated value, not large data itself can be solved. First of all, data should be organized into data resource system, then the classification of data level and category, and the correlation between data and data should be labeled, which is the core of objective phenomenon. On this basis, through the analysis of data resources and related departments of business docking degree, in order to play the data resource system in the management, decision-making, monitoring and evaluation of the role, so as to produce large data value, to provide service basis for leadership decision-making.

Li Xiaohua, vice president of the application industry of the Internet of things. Further to the reporter introduced the same-party data resources system for the processing process-the same side to help enterprises set up the concept of data center construction, under the guidance of the construction of supporting mechanisms, enterprises through this mechanism and related data docking, The index system is set up by docking the effect produced in different management levels, and then the monitoring and evaluation mechanism is established. It is worth noting that the indicator system is changing with the specific circumstances, the change of indicator system will lead the subsequent business and data automatically to adapt to the new index system, this is a closed-loop system, in the closed-loop system, enterprises can find their own goals and target deviation, and can be based on the target deviation to make new decisions, In order to reduce the loss caused by the target deviation. In this way, a recyclable ecosystem is formed to help the healthy development of enterprises.