Definition of SAP MDG
SAP MDG allows organisations to build, exchange, and manage master data across applications and processes – centralising master data by pooling it from various applications thus saving time while improving master data accuracy while streamlining procedures. It supports data validation, version control workflow multilingual support. Furthermore, it covers suppliers’ customers commodities plants cost centres etc as key master data elements.
SAP MDG Overview
Organizations may use SAP MDG to securely store, administer and update master data entities like customers, products, vendors and suppliers in one central repository.
Data analysis tools help ensure data correctness, quality, integrity, and regulatory needs. SAP MDG also facilitates simplified maintenance tasks by automating data processing tasks; reports on legal issues; facilitates replication across systems; and makes maintenance tasks simpler overall.
SAP MDG also facilitates organisational master data through application-specific modules, keeping up-to-date industry-specific material lists and project mandates while managing organisational master data like cost centres and organisational structures.
SAP MDG: SAP MDG is designed to enhance data quality and control across an enterprise by means of modelling, consolidation, collaborative workflow and validation services integrated within its comprehensive master data management (MDM) platform.
Establish and Configure: Setting up SAP MDG requires system configuration and source data loading; create user profiles and data validation rules before beginning this step.
Data Modelling: After setting up the environment, create a data model which establishes data structure and relationships for every MDG project.
Workflows and Collaboration: SAP MDG offers unique capabilities for improving business-IT collaboration, such as designing workflows to ensure data entry accuracy as well as giving business users a standardized cloud-based platform from which they can access Master Data.
Data Quality and Maintenance: SAP MDG offers solutions for master data cleansing and management. Validating user input and cleansing the data help maintain data integrity, as does managing hierarchies and maintaining object relationships.
It can speed up data entry while decreasing errors and tracking changes more efficiently and tracking changes more closely than traditional forms.
With process automation and validation tests in place, this expedites entry speeds and errors reduction while streamlining and tracking any future modifications to data changes.
This can serve as the focal point of an integrated master data source that is shared throughout a corporation.
Data integrity, consistency and completeness provide key advantages in standardizing structures across diverse systems.An SAP MDG tutorial can demonstrate how this platform can assist a company.
Topics often covered during an SAP MDG tutorial include mastering data design, creating SAP-certified MDG scenarios, automating processes, validating tests, correcting discrepancies in data, data provisioning/maintenance as well as SAP application interaction.
SAP MDG Course
SAP MDG Course provides students with an in-depth introduction to master data management concepts and methods, with topics including master data governance, quality, metadata management and integration being covered by this comprehensive SAP course.
Students will explore all facets of building the product suite architecture development, implementation and maintenance while configuring components and mastering master data governance principles.
Business analysts, system architects and developers can all gain something from taking this SAP MDG course. Students will develop an understanding of master data governance as they prepare to adopt SAP MDG solutions within their organisation following completion.
SAP MDG Consolidation
SAP MDG Consolidation unites business data from Customer Master, Vendor Master, Material Master and Organisation Hierarchy intoone central source.
MDG Consolidation filters out redundant variables, duplication and homonyms while standardising master data to achieve alignment and standardisation of master records.
Recognizing records which require consolidation because they were created from diverse sources with inconsistent data is the first step.
A consolidation rule must then be devised in order to integrate records and calculate value accordingly.
Validated records are distributed to other systems and departments, including legacy ones, to maintain one source of truth across all information quality enhancement initiatives.
SAP MDG Online Training Course Content
Module 1: Introduction to SAP MDG
- Overview of SAP MDG
- Configure MDG Material / Supplier Out of the Box. Reuse mode
- Flexmode – sap mdg online training
Module 2: Data Modelling
- ER modeling – sap mdg online training
- SMT mapping
- Extending MDG Standard data model for Reuse mode. BAD is for Data modelling
Module 3: Ul Modelling
- Floorplan Manger {FPM) Basics
- Linking FPM with MDG Ul per workflow step
- Configuring the Ul as per user defined criteria
- BAD is for Ul modelling – sap mdg online training
Module 4: Workflow modelling
- Rule based work flow{RBWF)
- Create change request types, step types, actions and link to RBWF
- linking rule based workflow to MDG Configuring BRF+ decision tables
- Linking HR organizational structure to MDG workflow
- Extending the workflow as per user defined criteria
- BADIs for workflow modeling
Module 5: Search and Duplicate check
- Configuring Search with TREX
- Duplicate check configuration – sap mdg online training
Module 6: Validations and Derivations
- BRF+ Validations and Derivations
- Validations and Derivations using ABAP BADI Cross entity derivation using ABAP BADI
Module 7: Data Replication
- Data replication Framework {DRF)
- Enriching MDG standard code or features to user requirement
- File Upload/Download – sap mdg online training
- User exits
- linking change request Ul s to NWBC Creating new roles for MDG