How big data can help power grid enterprises' business innovation

How big data can help power grid enterprises' business innovation

Under the leadership of different buzzwords such as "Internet+", "Industry 4.0" and "****health economy", today's Chinese economy has a series of new interpretations. Under the leadership of different buzzwords such as "Internet+", "Industry 4.0" and "****sharing economy", there are a series of new interpretations of today's Chinese economy. Although these propositions are different, the core idea is closely related to big data. Big data has an important supporting role in opening up business barriers and discovering business value, and promotes market development, product development, and customer service for enterprises in the Internet, finance, and other fields. This year, the State Council has successively issued Several Opinions on Strengthening the Service and Supervision of Market Entities by Utilizing Big Data and the Outline of Action for Promoting the Development of Big Data, which indicates that big data has risen to be a national strategy and has an important role in promoting the upgrading and transformation of traditional industries. The business model innovation brought about by big data has also brought new development opportunities for enterprises, and the same is true for power grid enterprises.

But the grid enterprise big data in the application of two practices are not desirable. One is the big data as a new concept, the original business model, management model for packaging, the end result is often too empty and unsatisfactory; the second is the big data as a new IT technology, in the absence of a clear strategic significance and the development path under the premise of relying on information technology applications for the implementation of the promotion of the way, the end result is often become the basis of the information system project and play a role in the limited. Grid enterprises how to apply big data, how to make it become to promote management innovation, business model innovation and industrial revolution of the internal power, become a key issue in the application of big data. To realize the grid big data business model innovation, the establishment of big data system thinking is crucial, manifested in the application pattern, application of the main line and the application of three aspects of the foundation.

First of all, it is necessary to establish the business ecosystem pattern of energy big data. This means that grid companies to carry out big data applications can not be limited to the power data held by the enterprise and related customer data, equipment data, but should be from the promotion of energy production, supply, storage, consumption of the industrial pattern to play the data resource advantages of grid companies. In the future, power grid enterprises should collect, process, analyze and apply data in energy fields such as electricity and gas, as well as data in other fields such as population, geography and meteorology, to play the role of energy big data as "adhesive" and "booster", and explore the establishment of a "platform" with a "platform" at the industrial level. Explore the establishment of a complete energy ecosystem at the industrial level with the characteristics of a "platform". The "adhesive" mainly refers to the attraction to other enterprises and the synergistic effect after the formation of the platform mode, and the "booster" mainly refers to the promotion of the production and consumption revolution of the energy industry and the transformation of enterprise development. It is of great significance for power grid enterprises to occupy a dominant position in the ecosystem based on energy big data. On the one hand, the value of power grid enterprises will no longer be limited to the physical profit model of transmitting power flow, but can create value through the pooling and sharing of information, knowledge and data, and enhance the core competitiveness; on the other hand, by attracting the participation of social capital and different subjects, the power grid enterprises *** to build a mutually beneficial and cooperative business environment, which can enhance the scientific and technological innovation of the enterprise and the ability of sustainable development.

Secondly, the extension of the electric energy value chain should be the main line to change the application mode. Grid-oriented internal big data analysis, application has a mature foundation, in power load forecasting, grid equipment condition monitoring, distribution network fault repair lean management and other aspects of the accumulation of a large number of experiences. In the future, the focus of the application of data assets of power grid enterprises will reflect the cross-application of internal data and external data, which will further expand the business space of enterprises and realize the extension of the business value chain to the outside of the power grid. On the one hand, it will shift from discovering grid operation laws to enhancing user value. On the basis of data analysis of power supply, demand and customer load characteristics, we focus on data mining and value discovery of users. In demand-side management, home energy management, energy-saving services, smart home, contract energy management, 95598 customer service and other businesses to shorten the distance with the user, mining the characteristics of the user's behavior, and strengthening the guidance and satisfaction of user needs and experience, not only to enable the company to have the technical advantages to cope with the power market reform and data-based competition, but also to promote energy conservation and emission reduction for the community, and realize the "two substitutes". "two substitutes". On the other hand, by shifting from supporting internal management to providing external services, the Company will not only be able to improve operational management efficiency through data analysis, but also realize data assets as a product or service. First, drawing on the operation mode of big data exchanges, the Company cleans, desensitizes and models the underlying data and transforms them into visualized data results, so that the data assets can be traded under the premise of privacy protection; second, the Company provides data consulting services to related industries, such as energy consumption data of the electricity consumption industry, data on the characteristics of residential electricity consumption, and APP software for electricity data; third, the Company provides credit data products, and offers credit data products to end customers, such as P2P, commercial banks and other end-users with a wide range of credit reports, credit scoring and anti-fraud, business decision-making and other products.

Finally, it is necessary to accelerate the construction of a unified basic data management platform to form an atmosphere of innovation and entrepreneurship of equality and ****sharing. In the past, power grid enterprises were dominated by the functions designed in the business system in terms of data utilization, and the data could be utilized to a low degree twice, which was not conducive to the business model innovation carried out by different departments and employees. The main reason for this situation is that the data coding and metadata rules of each information system are different, and some information systems will be solidified in the initial development of the function, which is difficult to be modified and improved twice. In the future, the integration and ****sharing of basic data is an important premise and foundation for business model innovation. On the one hand, the construction of a unified basic data management platform, to comprehensive, accurate, real-time, efficient as the principle, the integration of existing information systems, data assets involving sensitive information management and customer data can be cleaned, desensitized, modeling and other technical means to ensure that the processed data can be the majority of the company's departments and units *** enjoy; on the other hand, to accelerate the formation of data assets innovation and entrepreneurship mechanism, encourage Each unit to establish a data asset development team oriented to product demand and application demand to improve the efficiency and quality of data asset utilization.

Grid enterprises should comply with the development trend of big data, based on the enterprise, serve the society, deepen the innovation of big data business model, use energy big data as a catalyst for realizing the development strategy of the enterprise, play the role of boosting the construction of the "global energy Internet" and "two substitutes". We will also deepen the innovation of big data business model, use energy big data as a catalyst to realize enterprise development strategy, play a role in the construction of "global energy internet" and "two substitutes", use data assets as a driving factor to promote the transformation and upgrading of traditional industries and the construction of innovative society, and comprehensively improve the level of service to customers and society.

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