SAP MDC

Implementation of

SAP Master Data Consolidation (MDC)

SAP MDC helps your organization to consolidate and harmonize the master data while standardizing, matching, validating and calculating the best-record to improve the data quality.

Why SAP MDC?

"SAP MDC" enables you to consolidate your master data using a sequence of process steps adapted to your requirements. Each individual process step can be configured as well. You can use "SAP MDG, consolidation" as a stand alone application or in combination with "SAP MDG, central governance"

Standardization

Standardization normalizes and enriches the source Master Data prior to the Matching Process.

Key/Value mapping are supported.

Matching

Matching checks data from various source systems and the active area for duplicates. Records that are considered to be duplicates are displayed in match groups. Part of the matching is the match review to check match groups for possible duplicates.

Best Record Calculation

Best record calculation results in a best record containing the cumulated, most valuable data for each match group that is identified by the matching. This calculation follows a well defined process based on a set of rules.

Validation

Validation checks whether the quality of a record is sufficient to meet the requirements defined in the back-end system. If the quality requirements are met data can be saved, if not corrections and data enrichment might be required.

Activation

Activation adds the records to the systems active area. How the system proceeds with different types of records is specified in the configuration of "SAP MDG, consolidation and mass processing".

Mass Processing

Mass Processing enables you to update multiple master data records at a time.

Mass processing uses the same technical foundation as the consolidation capabilities of Master Data Governance, allowing you to combine the features in a flexible process configuration. Packaging, queuing, and parallelization contribute to enhanced performance even when processing large volumes of data.

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