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  The papermaking enterprise's future development tool
 Release:Qinyang GuoRui PaperMaking Machinery Co., Ltd. Browsing:1126 Release time:2022-11-03 

  Breakthroughs for Paper Enterprises - Data

  Big data is an emerging concept that has been proposed in recent years. In 2013, it was called "big data first year." According to the well-known research institution Gartner's definition: "Big data" is a massive, high growth rate, and diversified information asset that requires a new processing model in order to have greater decision-making power, insight and process optimization capabilities. Big data is characterized by 4V: Volume, Velocity, Variety, Value. The strategic significance of big data technology lies not in mastery of huge data information, but in specialized processing of these meaningful data. In other words, if big data is likened to an industry, then the key to profitability of such industries is to improve the "processing power" of data and realize "value-added" of data through "processing." At present, big data is no longer limited to the Internet. E-commerce field. Instead, it began to infiltrate traditional industries. More industries are also aware of the advantages of big data.

  Big data is now forming a wave of big data. It is like a revolution in the information age. It changes not only the industry, the enterprise, but the entire society. Under this kind of environment, the industry must learn to use data analysis to take the initiative to gain huge commercial value and competitive advantage. On the contrary, it can only be submerged in the wave of big data.

  Under the big data model, data is a very important enterprise resource for enterprises. The collection, analysis, and utilization of big data can all determine the future of the company. After the introduction of big data, the company's previous thinking and management methods will also undergo disruptive changes, collect as many data resources as possible, and use data analysis as an important support for enterprise development decisions.

  Analysts of the International Pulp and Paper Network stated that under the current drive, Big Data is only a matter of time before it enters the papermaking industry. Therefore, for many local paper mills, it is now necessary to plan and lay out in advance for the arrival of big data.

  Although for many paper mills, the related data on the industry, market, and competitors are collected and sorted out. However, the data obtained through previous methods are basically fragmented and irregular. In the big data model, a continuous and comprehensive data stream can be formed, and these data streams not only have strong continuity, but also have a wide coverage. Besides the relevant data of the company's own operations, they also include competitors, markets, and industries. It is all aspects of macroeconomics. Through the processing and analysis of these data, companies can understand the dynamic changes in upstream and downstream companies and markets. It can be said that all information related to the company can be quantified so that companies can understand each of them intuitively. The real-time dynamic information on the aspect, and then understand the industry, market trends, insight into the future development trends.

  Combined with the current status of the paper industry, under the overall situation of oversupply, paper mills often have difficulty understanding the changes in market supply and demand. However, if big data technology is introduced, data processing and analysis can be used to grasp market development trends, and the trend of change can be discovered at the first time. It is also possible to analyze and predict the future growth point of the market through big data. In terms of many operational behaviors of the company, big data can provide effective help, such as: studying the economic development status of different regions and consumer usage habits, formulating research and development directions for new products, and discovering business opportunities in emerging regions or subdivided product markets. Adjust and optimize product structure, adjust raw material purchases according to data forecasts, and so on.

  In the information age, data plays an important role for every enterprise in every walk of life, and the arrival of the era of big data provides enterprises with a solution based on massive data collection, processing, and analysis. Especially for the current paper-making companies, mastering and making good use of big data can achieve a multiplier effect. To provide a strong driving force for enterprises to focus on tightly focused.