sap master data management tutorial ppt

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Published on March 10, 2014

Author: chandusapmdm

Source: slideshare.net

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www.magnifictraining.com - "SAP MDM(MASTER DATA MANAGEMENT)" Online Training contact us:info@magnifictraining.com or +919052666559 By Real Time Experts from Hyderabad, Bangalore,India,USA,Canada,UK, Australia,South Africa.


SAP MDM CONTENT
MDM Overview – Introduction
- Data Manager
Data Modeling – Console
- Import Manager
- Qualified Table
- Hierarchies
- Taxanomy
Advanced Features – Import Manager Advanced
- Expressions
- Matching Mode
- Workflow
- Relationships
Outputs
- Syndicator
- MDM Automation
- Multilingual Support
IT and Business Scenarios
- Master Data Harmonization
- Rich product Content Management
- Global data synchronization
- Customer data integration
XI integration
SAP MDM CONTENT 2
SAP MDM Application Architecture
Overview of MDM Repository
Tables/Fields/Taxonomies/Hierarchy/Qualifiers
MDM data modeling
MDM console
Starting and stopping MDM console
Mounting and un Mounting MDM server
Connecting to MDM server.
Creating MDM repository.
Creating Different Tables.
Creating Different Fields.
Working with users, roles, remote system and ports.
MDM data Manager
Different modes.
Search techniques
Assignments and validations
Protect, checkin and checkout.
Matching
Qualifed table
Hirearchy table
Taxonomy table
MDM import Manager
Importing different source data(Excel, Access and xml)
Different operations on source table.
Source mapping and value mapping.
Matching of records.
Creating Maps
MDM Syndicate
Syndicating single table data
Syndicating data with external source
Syndication data to XML and Flat source
Creating custom fields.
SAP API overview
connecting and diconnecting to repo
basic core function API’s.

Sap MDM (master data management) online training Online | classroom| Corporate Training | certifications | placements| support • Email: info@magnifictraining.com • www.magnifictraining.com • Contact Us : +91-9052666559

Sap MDM (master data management) online training 5 Levels of MDM Maturity  www.magnifictraining.com

Master Data Management • Largest part of the data quality management effort (but not all) • Industrial trends – MDM tools, MDM vendors  www.magnifictraining.com

The 5 levels of MDM Maturity  www.magnifictraining.com

Level 0 • • • • • • • There is no common agreement of data definitions across organizations. There is no common agreement of data definitions among or between different systems. There is no standard for migrating data between systems. It is a highly manual process responding to isolated needs. The data originating from source systems is generally deemed unreliable and error-prone. No one is responsible for data correction. Data is considered a mere byproduct of the applications that use or generate it. There are no data-specific job tasks or roles.  www.magnifictraining.com

Level 1 – List Provisioning • • • • • • • There is no systematic and rigorous way of ensuring changes to the master list. Defining and maintaining master lists involves significant meetings and human involvement. Master data access and usage is supported by the data owner team. This typically includes explaining data file formats and content details. Data conflicts, deletions, and changes are handled manually. Individual applications must understand how to navigate to the master list. Data rigor and change management are still considered application-based processes. The steps aren’t always apparent (or communicated) to external data users.  www.magnifictraining.com

Level 2 - Centralization • • • • • Applications are aware of a central repository or list of master data, and have hardcoded logic in order to interact with that system. A data model exists and serves to uniquely identify each master record. Data access and integrity rules exist, but must be managed by the individual application systems. Integrating new application systems typically requires all data and processing integrity logic be replicated to each consuming application. Maintaining master identifiers and business rules falls to the individual applications that require access to the master list.  www.magnifictraining.com

Level 3 – Centralized Hub Processing • • • • • • Master reference data is centrally managed. Business-oriented data rules and the associated processing have been centralized. There is an “owner” or steward of the master data as well as a highly functional data stewardship process to support data conflict resolution. A data governance process exists to resolve cross-functional or cross-organization conflict. Data cleansing and matching is centralized and transparent to the consuming applications. The hub (as opposed to a human being) is ensuring data accuracy and consistency.  www.magnifictraining.com

Level 4- Reconciliation & Audit • • • • • • You’ve implemented a process-driven data governance framework that supports centralized business rules management and distributed rules processing. Your organization has a mature change management process and includes both data and business processes. The IT architecture supports SOA as a means to integrate common business methods and data across applications. Both data cleansing and data correction are occurring on the hub. A data stewardship process has been defined to support the communication of data issues to the responsible party–either an individual or system. There is an automated way to both enforce and undo changes to master reference data.  www.magnifictraining.com

Level 5 – Enterprise Data Convergence • • • • The hub is fully integrated into the application system environment, propagating data changes to all the systems that need the master data. Application development is able to capitalize on both business-based application services and business-based data services. Application processing occurs independent of physical system location and data navigation. MDM data access is integrated with application processing.  www.magnifictraining.com

Where we are today ? Product Customer Master data from business partners - Product Info. pool  www.magnifictraining.com

Where we want to be ? A systematic solution to propagate internal master data to external business partners such as supplier, customers, or distributors How far in the MDM level we want to go for external business partners? Prioritize master data types for external business partners  www.magnifictraining.com

Mdm Contacts:- Contact Us: For more details, please log on to www. MAGNIFICTRAINING.COM Most Trusted Website for all Learning Needs by Students, Graduates and Working Professionals You can also Find us on :  www.magnifictraining.com

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