ISO9001认证对数据分析的管理
ISO9001 certification for the analysis of data management
数据一种量化的质量信息。数据分析结果所表明的事物变化趋势和规律，是更有价值的质量信息。数据分析是建立在信息采集的基础上的。
A method to quantify the quality information data. The results of data analysis show that the tendency and law, is more valuable to the quality information. Data analysis is based on the information acquisition based on.
为了评价计划、目标、业绩及识别改进的区域，从而给质量改进提供有价值的信息，就必须对所采集到数据进行科学的分析。
In order to evaluate the plan, target, performance and identify areas for improvement, and quality improvement to provide valuable information, we must of the collected data for scientific analysis.
首先，数据的收集。这里是指过程中的监视和测量活动以及其他相关来源所产生的数据，但不限于产品的数据，也包括体系、顾客、供方和项目的数据。对这些数据应通过质量信息管理渠道有计划地、系统地加以收集。对数据的收集有以下要求：
First, data collection. Here refers to the process of monitoring and measurement and from other relevant sources of the generated data, but is not limited to product data, including the system, customers, suppliers and project data. These data should be based on quality information management channel planning, system to collect. The data were collected with the following requirements:
及时性。数据的价值往往随时间的推移而大为降低，只有及时收集并加以分析，才能适时、有效地决定改进措施。特别是可能造成严重后果的异常数据，一经发现就应立即提供，以免造成重大损失。
Timeliness. Data values are often over time is greatly reduced, only the timely collection and analysis, in order to timely, effectively decides the improvement measures. Especially the possible serious consequences of abnormal data, once found should be provided immediately, so as not to cause significant loss.
准确性。准确性是数据有价值的前提。数据必须如实地反映客观事实的特征及变化情况，一组失真的数据，可能导致错误的结论。为了达到这一要求，排除过大的测量误差的影响，是很重要的。
Accuracy. Accuracy is the data is the premise of value. The data must be accurately reflects the objective facts of the characteristics and changes of situation, a group of distortion data, may lead to erroneous conclusions. To achieve this one requirement, eliminating large measurement error, is very important.
完整性。完整性是数据能全面、真实地反映客观事实全貌的必要条件。完整性是指数据项目应齐全、数据数量要达到要求。数据数量不足就难以找出规律，数量充足也可弥补个别数据不准确造成的麻烦。
Integrity. Integrity is the data can reflect the comprehensive, objective facts about the necessary conditions. Integrity refers to data items should be complete, the amount of data to meet the requirements. It is difficult to find out the rule of data quantity insufficiency, in sufficient quantity can also compensate for individual data is not accurate for causing trouble.
其次，数据分析的手段。数据分析应依靠统计分析技术，统计分析技术是分析处理数据最基本的方法，组织应规定数据分析的各项内容及其质量特性参数和相应的统计分析方法。常用的统计分析方法有QC七大手法等。在EXCEL办公软件可录入数据，直接给出柏拉图及其他的分析图形和数据。将数据分析处理成有效的图形以后，还要根据一些经验，从中判断是否异常、异常的原因及对策。
Secondly, data analysis method. Data analysis should rely on statistical analysis techniques, statistical analysis of data analysis and processing technology is the most basic method, the organization shall data analysis the content and quality characteristic parameters and corresponding statistical analysis method. Commonly used statistical analysis methods: QC seven technique. In the EXCEL office software can input data, directly gives Platon and other graphics and data analysis. The data analysis and processing into effective graphics, according to some experience, judge whether abnormalities, abnormal causes and countermeasures.
再次，数据分析处理的流程。
Once again, the process of data analysis and processing.
数据审查和筛选。对采集的数据应再次进行审查和筛选，确保其完整性和准确性。对缺少的或不符合要求的数据可要求重新提供或予以剔除。
Review of the data and screening. The collection of data should be reviewed again and screening, to ensure the completeness and accuracy of. The lack of or do not meet the requirements of the data may be required to provide or rejected.
分类和排序。将收集到的原始数据按一定的分类法进行分类，再根据重要程度排序，以确定数据分析处理的对象和顺序。
Classification and ordination. The collected raw data according to certain classification to classify, again according to the importance, in order to determine the data analysis processing of objects and order.
确定分析内容，进行统计分析和计算。这时，要运用适当的、快捷的数据分析手段，以便及时作出反应。
Determination of the content, statistical analysis and calculation. Then, to apply proper, efficient data analysis methods, in order to make timely response.
分析判断。在统计、分析结果的基础上，以决策目标值或标准为依据，利用专业知识和统计分析经验，对统计分析计算或绘图所得结果作进一步分析，以获得能指导改进过程控制的定量或明确定性的信息，找出存在的主要问题和薄弱环节，并提出相应的改进措施建议。