1. In the era of big data, the acquisition and utilization of quality information becomes more convenient, which provides more powerful support for the quality control of enterprises. First of all, big data technology can help enterprises to understand the quality of products more comprehensively. Under the traditional quality management mode, enterprises can only obtain limited and partial quality information, while in the era of big data.
2. Enterprises can obtain a lot of quality information from various data sources, including feedback, maintenance records, performance data, etc. , can help enterprises to understand the product quality more comprehensively and find and solve potential quality problems in time. Secondly, big data technology can help enterprises to analyze the causes of quality problems more accurately.
3. By analyzing a large number of quality data, enterprises can find out the factors that affect product quality, such as the quality of raw materials, the parameters of production process, the transportation and storage environment, etc. These factors may be difficult to find through traditional quality management methods, and big data technology can help enterprises more accurately analyze the impact of these factors on product quality.
4. Big data technology can help enterprises predict the quality trend of products. By analyzing a large number of historical data and market feedback, enterprises can predict the possible quality problems in the future and take measures to prevent and solve them in advance. This forecast can help enterprises to better plan production, inventory and sales plans and avoid losses caused by quality problems.
5. Quality information in the era of big data is easier to obtain and use, which provides stronger support for the quality management of enterprises. Through big data technology, enterprises can understand product quality more comprehensively, analyze the causes of quality problems more accurately, and predict product quality trends, so as to better improve product quality and management level.
6. So the incorrect description is that data information is difficult to use. We also need to pay attention to the sustainability and scalability of big data technology. With the continuous expansion of enterprise scale and business scope, the demand for quality information will continue to increase, so it is necessary to choose sustainable and scalable technical solutions and platforms to meet future needs.