质量管理驾驶舱CPM数据

通过该算法计算CPM值，可以针对客户投诉的数据进行实时监督，实现公司层面、产品类别层面等多维度的数据显示。使得业务部门能够更加高效的处理客户投诉问题，精准的分析出客户投诉的相关信息，加强企业对客户投诉的管理，最终达到提高企业竞争力的目的。质量管理驾驶舱CPM数据的算法规则包括以下几个方面：1、数据采集：在企业管理解决方案软件SAP系统中通过对应的事务代码在后台表找到相关表的关联逻辑。2、数据校验：根据后台表逻辑在HANA数据库中搭建SQL模型，把所需字段数据均放在同一维度3、数据处理：将数据通过KETTLE增加转换（全量）和作业任务到数据仓库。在数据仓库中分别创建‘投诉单次’和‘发货数量’的存储过程，只更新上月和本月的数据，将历史数据存储。数据主要针对年月、一级部门等维度划分，将各部门的投诉单次（根据年月、工厂、产品小类分组汇总出投诉客户数，再根据年月分组汇总计算出总客户数）和发货数量（根据年月、工厂、一级部门分组汇总得到工厂的销售发货数量）在FineBI帆软处理计算，得到当月的CPM值和6个月的滚动CPM值，最后将CPM逻辑和值在指定层创建相关存储过程Procedure。对滚动CPM值与指标进行判断是否达标，如果超过规定指标则为未达标，否则为已达标。针对达标情况，对相对应的工厂，具体问题具体分析，从而改善客户投诉问题。By calculating the CPM value using this algorithm, real-time monitoring of customer complaint data can be achieved, with multi-dimensional data display at the corporate level, product category level and other dimensions. This enables business departments to handle customer complaints more efficiently, accurately analyze relevant information about customer complaints, strengthen the enterprise's management of customer complaints, and ultimately enhance the enterprise's competitiveness. The algorithm rules for the CPM data of the Quality Management Cockpit are as follows: 1. Data Collection: Locate the association logic of relevant tables in the backend via corresponding transaction codes in the SAP enterprise management solution software. 2. Data Verification: Construct an SQL model in the HANA database based on the backend table logic, and aggregate all required field data into the same dimension. 3. Data Processing: Use KETTLE to add full-data conversion and job tasks to the data warehouse. Create separate stored procedures for 'Complaint Count' and 'Shipping Volume' in the data warehouse, which only update data from the previous month and the current month while storing historical data. The data is classified by dimensions such as year-month and first-level department. The complaint count (aggregate the number of complaining customers by grouping according to year-month, factory and product sub-category, then aggregate the total number of customers by grouping according to year-month) and shipping volume (aggregate the factory's sales shipping volume by grouping according to year-month, factory and first-level department) are processed and calculated in FineBI (Fanruan). The current month's CPM value and 6-month rolling CPM value are thus obtained. Finally, create corresponding stored procedures in the specified layer for the CPM logic and calculated values. Judge whether the rolling CPM value meets the preset indicators: if it exceeds the specified thresholds, it is deemed non-compliant; otherwise, it is deemed compliant. For each factory based on its compliance status, conduct targeted analysis of specific issues to improve customer complaint handling.

搜集汇总

数据集介绍

特点

该数据集包含913条质量管理驾驶舱CPM数据，每月更新，主要用于客户投诉的实时监督和多维度分析。数据包括客诉日期、工厂名称、投诉类型等12个字段，通过特定算法计算CPM值，帮助企业高效处理客户投诉并提升竞争力。