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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sap-data-analysis-for-sales-documents-and-more/
课程评论：没有评论
Coursera 课程《SAP 销售文档数据分析及更多》课程总结： 本课程旨在帮助您深入理解如何在 SAP ECC 销售文档处理中进行数据分析。课程内容全面，涵盖销售订单的各个层面，包括： * **销售订单对象深入解析：** 详细介绍订单的抬头 (Header)、行项目 (Line Item)、合作伙伴 (Partner)、业务数据 (Business Data)、条件 (Conditions) 等关键信息。 * **数据字典与表结构：** * 了解数据字典的概念，掌握如何将应用程序字段映射到数据字典表字段。 * 学习 Data Modeler 的概览和使用方法。 * 掌握 Table Display 及 Data Browser 的使用技巧。 * 深入学习数据字典的高级用法。 * 学习 Data Query 的应用。 * **实践操作与案例分析：** * 提供大量实例和练习，针对销售订单对象进行常见分析请求的演示。 * 分享数据分析的建议和方法。 * 指导您如何将所学技能应用于此数据模型及其他数据模型。 **课程特色：** * **系统实操导向：** 课程将花费大量时间在 SAP 系统中进行演示，大部分主题都会通过系统操作步骤进行讲解。学生可以跟随操作或在课后自行尝试。 * **适用人群：** * 希望提升 SAP ECC 应用数据分析能力的任何人。 * 希望从系统用户成长为系统超级用户的专业人士。 * 希望快速上手项目并产生更大影响的顾问或新入职员工。 * 需要分析系统数据并为项目和部门规划提供建议的业务或 IT 管理人员。 本课程是讲师最喜欢设计的课程之一，强烈推荐给希望深入了解 SAP 数据分析的您！
Get strong understanding about performing a data analysis in SAP ECC Sales Document processing. This will include Sales Order object reviews of header, line item, partner, business data, conditions, and more.Data Dictionary Table OverviewsMapping application fields to table fieldsData Modeler Overview and usageTable Display & Data Browser Advanced Data Dictionary usageData Query usageExamples & exercises and common requests across the objects to be used in analysisRecommendations on analysisHow to Apply your skills on this data model as well as other data models.There will be significant time spent in the system. Most subjects are introduced and then the majority of the time is spent going through the steps in the system.Students can follow along or watch and then try similar steps in their system.Why take this course You want to obtain a better understanding of how to analyze the data used in SAP ECC applications.You need a better understanding of the application data before you can move from system user to system super user.You're a consultant or new employee who's looking to hit the ground running on your project and make a bigger positive impact quicker.A Business or IT manager looking to analyze system data and make recommendations for projects and other department planning items.Keep coming back for more and more examples.Thank you for considering this course. This has been my favorite course to put together so far!
