On November 24th, 2016, a refined and warm "data 趴" was staged at the Zhong Meicun Software Park Give Me Five Cafe. The data hosted by China Software Network met with Thanksgiving Day and focused on more than 100 big data industry's biggest names. It is really a group of talents and big coffee. At the meeting, Haibi Research released the “2016 China Big Data Application Survey Reportâ€, and the awards for the annual figures, leading companies and best practices in the big data industry were announced. Ten companies including Inspur won the “2016 China Big Data Best Practice Awardâ€. ".
Inspur Group won the "China Big Data Best Practice Award"This selection selects “2016 China Big Data Application Best Practices†from the perspectives of innovation capability, application case, product and program maturity, platform capability, revenue growth, future potential, key customers and other dimensions, with different weights. Awards and other lists. In the industry, Inspur first proposed the concept of data socialization, using big data transactions to drive the application of big data, establishing an ecosystem with big data as the core, and exerting big data for enterprises to assist enterprises in decision-making and improve management level. China Big Data Best Practice Award.
It is reported that China Software Network and Haibi Research President Cao Kaibin jointly released the industry's first "China Big Data Application Status Survey Report". The report shows that 27% of industry users have begun to try to use their relevant big data products and services to provide services for their operations management, with 51% of data sources coming from within the enterprise. The demand for big data is mainly proposed by IT departments, business departments and management, and the current IT department has the largest number, accounting for 38%. 58% of enterprises' big data investment is between 100,000 and 1 million yuan, and 50% of enterprises use big data for analysis and prediction of user behavior and market trends. Data security is the biggest concern for enterprises to apply big data. The choice ratio is 50%; the most needed is technical support, and 28% of enterprises think that technology is the biggest difficulty at present. Cao Kaibin said that in the next three years, the big data industry will be the world of technology-based companies; the next ten years will be the world of brand-name companies; the Chinese government will set up eight large data test areas, which will promote the brutal growth of China's big data companies and lead the world.
Carry "Data socialization" banner <br> <br> wave is the first leader proposed "Data socialization" concept. Although the country has proposed a big data strategy, there have been many explorations and practices in various places, but there is still a large amount of data still sleeping in the hands of governments, enterprises, and individuals. The sharing, opening, and application of data are far from enough.
How do you activate this data and make it worthwhile? Inspur proposed that it is necessary to promote data circulation and go through three stages of “data resourceizationâ€, “data commercialization†and “data ecologicalizationâ€, and finally realize “data socializationâ€.
Under the vision of data socialization, Inspur is positioning itself as a “platform product supplier†and an “operating service providerâ€, focusing on the core of data distribution, by providing two platforms – the “computing†platform and the ERP platform, and Two services—government cloud services and big data resource services—export three core capabilities including basic support capabilities, industry-driven capabilities, and innovative source output capabilities.
Among them, Inspur ERP platform, based on GSP development platform, builds a complete enterprise information platform around group enterprise management software GS, SME management software PS, enterprise big data BA and human resources HCM, providing platform and application support for digital transformation of enterprises. .
Inspur big data resource service, relying on Tianyuan data network that can realize data sharing and data transaction, and the number of cloud pools that have collected 40PB data, provide big data platform and resource services to different demand parties, and output innovative resources to support AB makers. Entrepreneurial innovation, the realization of business model innovation and business shape transformation, and ultimately achieve the maximum output of data value.
Sun Chaoshu, Chairman and CEO of Inspur Group, said that in the process of “data socializationâ€, Inspur will adhere to the cooperative attitude of “open, collaborative and win-win†and actively participate in building a data-centric ecosystem with customers and partners. Together, we will move towards a bright future of “data socializationâ€.
Inspur believes that the idea of ​​informatization construction should shift from “application-centric†to “data-centricâ€. By building a big data platform and building different applications on it, it is a large platform light application, which can be quickly innovated and provide some portable analysis applications.
On the tool support, Inspur's enterprise big data analysis platform can handle business data, IoT data or Internet data, report data, etc., and can integrate and reorganize it to form an enterprise big data space, and use the analysis model to visualize it. On the one hand, the process is embedded in the business system, and on the other hand, the data service can be provided externally.
In addition, Inspur proposed a five-step methodology for enterprise big data project construction: project planning, data standards, data collection, integrated storage, and innovative applications. Project planning is to delineate the scope of the project based on the current situation and strategy of the enterprise; the data standard is to standardize the main data through the MDM system, and send it to the use system on a unified basis to make the standard fall; Inspur has a complete data collection tool to support Insulation of all kinds of data; Inspur provides three storage methods - Hadoop, data warehouse, in-memory database, automatically distributed according to different data types, data characteristics, data temperature, to achieve the best combination of performance and cost; innovative applications are used Analysis tools, algorithms, and models support rapid innovation.
As the main strategy of Inspur, enterprise big data has already produced a lot of achievements in promoting the landing, and the industry market is multifaceted. Its users include China Reserve Grain, Aerospace Fourth Institute, Aerospace Ten Institute, China Energy Conservation Group, China Communications Construction Group, China Railway, etc., covering a number of domestic industries such as military, construction, energy, and public utilities, with more than 60% of the central government. Enterprises and state-owned enterprises provide big data construction support services to help group enterprises achieve more precise and intelligent management, and help enterprises to fully transform into digital.
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