Primarily as a record or check use. Data stratification (Data Stratification) data stratification, also known as stratification method is the same nature, the data collected under the same conditions are summarized together for comparative analysis. Because in actual production, changes in the factors affecting the quality a lot, if you do not distinguish between these factors, it is difficult to draw the law change. Data stratification can be a variety of ways according to the actual situation. For example, different time, different shifts were stratified according to the type of equipment used were stratified according to time feed of raw materials, according to the raw material components were stratified by means of inspection, according to the conditions of use stratifying different defect Item stratified, and the like. Data stratification method often used in conjunction with the above statistical analysis table. Application data stratification, the main concept is a system that is to be treated fairly complex information, you have to know how to put this information in a systematic and purposeful to be categorized and summarized statistics. Based management emphasizes scientific management techniques, to make up for past deficiencies on experience, relying on visual judgment of management. And this management techniques, in addition to establishing the right idea, but also the need to use data only way to carry out the work of analysis and take corrective action. How to build the original data and the purpose of the data needed to be set on the basis of design, quality control is the most basic work of many practices. For example: China's aviation market in recent years, with an open and increasingly competitive airline market in addition to strengthen measures to fight, but also lay emphasis on quality of service. We can often see customer satisfaction survey in the aircraft. This survey was carried out through a questionnaire. Questionnaire design is usually divided into ground service quality service quality and on board an aircraft. Floor is divided into ticketing, waiting; aircraft is divided into flight attitude, food, and health. Through these surveys, these data will be disaggregate, can be enhanced where the quality of service. 3, how to use control charts anomaly judgment by the production process control charts to identify the state, QC seven practices, mainly for analysis and judgment based on the sample position and the formation of sample data trends. Out of control mainly for the following two cases: ① sample points outside the control limits; ② sample points within the control limits, but malalignment. When the data management point beyond the boundaries of the production process is generally believed that the presence of anomalies, then you should look for the reasons, Guangdong QC seven practices of training, and to take countermeasures. Malalignment mainly refers to the following situations: ③ more than seven consecutive points all deviation above or below the centerline, then you should check whether there is a change in manufacturing conditions. ④ three consecutive points near the area of ??the two points into the management boundaries (referring to the management of more than two thirds of the region boundary from the centerline), then should pay attention to the production of volatility is too large. Upward or downward trend ⑤ points have emerged, showed characteristic changing step up or down. ⑥ points aligned state cyclical changes, then the operating time can be hierarchical processing, QC seven practices training courses, re-create control charts, QC seven practices training company, in order to identify the cause the problem. Control chart reveals anomalies capacity will be based on the number of data packets collection methods, sample of each set of data, divided into different layers and different other. It should not just be satisfied with the use of a control chart, and should collect a variety of data conversion method and use methods to produce various types of charts, so as to achieve better results. It is worth noting that, if discovered anomalies beyond the control limit, but not to work for the reasons, to take measures, then even though the effectiveness of the control chart is very good. It is only an empty piece of paper. QC seven practices, QC seven practices of training institutions, enterprises of the Road (quality businessmen) are provided by way of Huizhou City-level Enterprise Management Services Limited. Huizhou City, the rate of the Road Enterprise Management Services Ltd. (isoew.com) strong, credible, in other industries in Huizhou, Guangdong has accumulated a large number of loyal customers. The company better work attitude and continuous improvement of innovative ideas will lead enterprises into the brilliant road and you work for a better future!