Large data knowledge service is expected to press China's enterprise innovation and development of "Fast forward key"

Absrtact: Recently, by the China Management Modernization Research Association, the same side knows the network (Beijing) technology Limited Company to host, the Ministry of Industry China Informatization Advancement Union will the power specialized committee and the China Energy newspaper co-organizer 2015 Big Data Environment enterprise strategic management and Knowledge Service summit

Recently, China Management Modernization Research Association, with the party Knowledge Network (Beijing) Technology Co., Ltd. hosted by the Ministry of Industry, China informatization Promotion Alliance will be jointly with the China Energy newspaper, "2015 Big Data Environment enterprise strategic management and Knowledge Service Summit" held in Beijing International Conference Center, from Energy, transportation, communications, Construction and other industries, more than 400 enterprise managers, large data research and strategic management experts gathered in the capital, around strategic management, knowledge management and deep coupling and other issues in-depth discussion, agree: Large data knowledge services are expected to press China's enterprise innovation and development of the "Fast forward key."

With the change of external environment and large data explosion, strategic management faces various challenges

Experts have said under the background of new normal and large data, enterprises face various challenges, if they lack proper and reasonable strategic management, or fail to deal with such important problems as innovation mode, key value link, relative competitive advantage and cooperation strategy, then in the face of more and more fierce market competition, Will never be able to transcend, can only be tired of coping.

Han, director of the National Development and Reform Commission Energy Research Institute, pointed out that at present, China's various industries need to quickly understand and adapt to the new economic normality, on the other hand, we have to face the various variables of the international economy. At the end of last year, he said, the initial fall in international oil prices provided a good opportunity for China's oil companies to acquire overseas mergers and acquisitions, but this year, the continued plunge in international oil prices will have a major impact on the production and operation of oil enterprises and future development.

Zhang Yongwei, deputy director of the Enterprise Research Institute of the State Council Development Research Center, said that under the new normal China's economic growth rate continued to slow down, the past by scale, capacity expansion of the road has come to an end, innovation and development drive will become the 2015 new theme of enterprise development. At the same time, the Internet and information technology and the rapid integration of various industries, it is likely to become a breakthrough in the transformation of traditional industrial innovation.

However, in the socio-economic ecological environment with high technological development and increasingly refined division of labor, any innovation covers business adjustment, technological innovation, business model innovation, management innovation and other contents, which is a kind of complex work which is very demanding and highly risky for enterprise decision-makers and managers.

"Large data is a new strategic resource in the era of digital survival, an important factor driving innovation, and it is changing the production and life style of human beings." ”。 Yong, vice chairman and secretary general of China Management Modernization study, said that in the complex and uncertain large data environment, how to seek the precision from the rough, to grasp the causal relationship and the inevitable relationship in the relationship is the core problem of the application of large data technology today.

Ministry of Industry China Information Promotion Alliance vice Chairman and Secretary General Liu Jinjun and other experts think, big data for the enterprise, more like a double-edged sword. On the one hand, large data provides an important tool for enterprises to grasp and forecast the direction of industry, market law and running track. On the other hand, the large data mixed with information brings a lot of decision noise and distortion information to the enterprise, which brings many challenges to corporate governance, strategic management and innovation decision-making.

Decision and execution call for knowledge power engine and build knowledge management Service

So, in the complex environment that the new normal macroscopic environment and the large data information environment cross each other, how should the enterprise innovate to formulate and implement the development strategy? From energy, electricity, transportation, infrastructure, network communications and other industries of the common view is that not only need contingency layout, planning long-term strategic thinking, but also be good at using competitors do not have unique, difficult to replicate the key resources and core competencies, appropriate to apply in strategic decision-making and implementation. And the source of this ability, is coming from the scientific and efficient knowledge management.

"Knowledge economy era will be the era of knowledge-based management enterprises, only know how to use knowledge management to carry out strategic management enterprises are the most promising and growth prospects of enterprises." "Tong Fang Knowledge Network (Beijing) Technology Co., Ltd. General Manager assistant, Knowledge Service product director Zhang Yimin to reporters that the depth of their strategic management and knowledge management coupling, is not 1+1=2 so simple.

So, what kind of knowledge management does strategic management need?

Zhang Yimin stressed that knowledge management can not be simply understood as the integration and construction of information databases. He explained that over the past more than 10 years, enterprises in various industries to obtain knowledge, information and intelligence, mainly through the literature database retrieval to achieve. This pattern of "big resources" and "big discoveries" is characterized by based on the resources integration at home and abroad, document type and subject classification, simple search, advanced search, federated retrieval, professional search, cross database retrieval, etc., the paper constructs the digital Document Information Service system in the early stage of Internet and information technology development. , promote new knowledge promotion and application, promote the use of knowledge to carry out the confidence of innovation, etc., have played an important role that can not be neglected.

In the comprehensive research, on the basis of understanding the characteristics of each industry's strategic management and the requirement of knowledge management, the same square Knowledge Network (CNKI) has started to build a new model of knowledge service industry "two times" in recent years from the angle of the top design and the future development of knowledge culture, and around resource processing, knowledge mining, Product research and Development has established three major objectives of strategic transformation:

First, the use of subject indexing technology to achieve research-oriented problems and the Chaquancha of the object. On this basis, in-depth investigation of the resource needs of various industries, to integrate various kinds of knowledge resources at home and abroad, covering all kinds of periodicals, dissertations, papers, newspapers, monographs, dictionaries, engineering manuals, dictionaries, yearbooks, statistical data, standards, patents, scientific Reports, laws and regulations and cases, scientific research projects, information , literary and artistic cultural works and other types, it is constructed into a cross-cultural, interdisciplinary and cross-media Knowledge discovery platform through structured processing, subject indexing, citation correlation, classification compilation, Knowledge self-organization and correlation, and multimedia development.

Second, the use of XML and knowledge mining technology to achieve knowledge-oriented direct retrieval. At the end of 2014, the same side of the network for more than 200 million Chinese and foreign resources to complete the XML fragmentation of the overall upgrade, based on the knowledge mining technology, the research object, background, problem, goal, method, process, result and conclusion are extracted from all kinds of literatures, and the dynamic reorganization becomes "project subject information Storehouse", "scientific research method Storehouse" and "Innovation Point Database". such as supporting the knowledge base of scientific research decision, the knowledge unit, such as concept, principle, viewpoint, Norm and character, is constructed as the concept storehouse, viewpoint database and expert database directly supporting the direct retrieval of knowledge in various industries.

Third, facing all walks of life strategic management and innovation needs, to provide new, authoritative, customizable knowledge services. On the basis of a wide understanding of enterprise innovation and strategic management needs, the same side of the network through market segmentation and industry experts to discuss the demonstration, as well as on-demand publishing platform, the world scientific literature qualitative evaluation of statistical database, priority publishing platform, professional knowledge meta Knowledge Base, digital library, Digital learning platform, such as national-level projects or technical platform for the professionalization of integration and utilization, the release of industry knowledge services products, to help users of various industries to use the Internet, mobile Internet and multimedia interactive advantages, research-oriented use of various types of knowledge resources, mining, development, creation and use of their own innovative knowledge

It is understood that at present, the same side of the network has been facing more than 30 industries, the initial release of 60 knowledge services platform, such as communication technology innovation Knowledge Service platform, energy industry innovation Knowledge Service platform, transportation planning and design knowledge service platform, etc., widely used in energy, transportation, network communications, infrastructure and other fields.