SAP Data Analysis for Sales Documents and More WEBRip | English | MP4 | 1280 x 720 | AVC 509 Kbps | 30 fps AAC | 55.6 Kbps | 44.1 KHz | 2 channels | 3.6 hours | 544.5 MB Genre: Video Tutorial
By the end of this course you'll have a great understanding of data entities used in the SAP ECC sales order process, their relationships, and usage. You'll be able to map data from the business object to the table fields. You'll be able to query the table data, filter, sort, etc... so that you can present the data meaningfully. You'll be able to use data analysis to assist in troubleshooting application issues. You'll be ready to help the business blue-print and design new functionality and identify impacts and relationships to existing data. You'll be able to identify data needed to help cover existing reporting gaps & Much more! 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 Overviews Mapping application fields to table fields Data Modeler Overview and usage Table Display & Data Browser Advanced Data Dictionary usage Data Query usage Examples & exercises and common requests across the objects to be used in analysis Recommendations on analysis How 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.
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