Udemy

SAP Data Analysis for Sales Documents and More

Enroll Now
  • 531 Students
  • Updated 2/2020
4.5
(82 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 40 Minute(s)
Language
English
Taught by
Devon Winters
Rating
4.5
(82 Ratings)

Course Overview

SAP Data Analysis for Sales Documents and More

A guide for becoming an expert at analyzing SAP table data for troubleshooting, reporting, project planning, & 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.

Thank you for considering this course.  This has been my favorite course to put together so far!

Course Content

  • 9 section(s)
  • 30 lecture(s)
  • Section 1 Welcome and Introduction
  • Section 2 Sales Document Review for Data Analysis
  • Section 3 Table Overview
  • Section 4 Sales Document to Table Field Comparison
  • Section 5 Sales Order Data Model Review for Data Analysis
  • Section 6 Table Data Analysis
  • Section 7 Query Usage for Data Analysis
  • Section 8 Course Wrap-up & Next Steps
  • Section 9 Extras - Advanced Data Analysis Skills Usage

What You’ll Learn

  • 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 have a good understanding of many tools involved in analysis and be able to apply this to other processes in SAP as well.
  • 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!


Reviews

  • S
    Stephen Oga
    4.5

    Relevant for master data analysis am currently working on

  • L
    L. FAN
    4.0

    Devon is very articulate and explains clearly the points one by one. For those already familiar with SD you can actually start from the second half of Section 6.. ..where you actually start to see where this is going..The QuickViewer part is really helpful and can be used for customizing searches.

  • A
    Alusine Kamara
    5.0

    The instructor seems to be very comfortable with the SD domain

  • D
    David Vizcarra
    5.0

    Very clear and thorough. Neatly organised with great practical examples and recommendations.

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed