This document outlines an MDM architecture using SAP components, including SAP MDG for the master data repository, SAP Info Steward for metadata management, and SAP Data Services for data integration and quality. It recommends using Sybase PowerDesigner for data modeling, profiling data with SAP Info Steward, and leveraging SAP HANA for faster processing. The architecture utilizes SAP components for presentation, persistence, integration and processing of master data.

1. MDM Architecture – SAP
April 2014

2. 2
BIM
MDM Architecture – SAP | April 2014
Copyright © 2014 Capgemini. All rights reserved.
MDM Architecture – high level
BA&T Information
SAP Sybase Power Designer
External information
providers
(Reuters etc…)
SAP BW SAP ECC
SAP HANA
SAP EP
Sybase Mobile
SAP Data Services
Address
Directory
Cleansing
Dictionary
Metadata
repository
Steward 4.2
Data quality rules,
scorecards
Other
business
systems
SAP MDG 7.0
Master data
repository
Workflow
SAP PI

3. 3
BIM
MDM Architecture – SAP | April 2014
Copyright © 2014 Capgemini. All rights reserved.
MDM Architecture – components
 Presentation: SAP EP, SAP NWBC, Sybase Mobile
 Persistence: SAP HANA DB
 Integration: ALE, SAP PI, SAP Data Services
 Processing:
• Metadata:
– BA&T Information Steward
– Sybase PowerDesigner
• Master data
– SAP MDG.

4. 4
BIM
MDM Architecture – SAP | April 2014
Copyright © 2014 Capgemini. All rights reserved.
Best practices
A picture is worth
thousand words
Use Sybase Power Designer to design the Enterprise architecture, business process, data model,
metadata, data flow.
Elementary,
my dear Watson
Create a Metadata repository using SAP Info Steward, collect metadata from Sybase Power designer, SAP
BW etc. This will help in end to end lineage and impact analysis.
Know your data Profile data first using SAP Info Steward which will suggest rules to cleanse.
Create once, use
many times
 DQ rules created in SAP Info Steward during profiling reused in SAP Data Services ETL dataflows and
then invoked in SAP MDG UI
 SAP DS ETL jobs used for one time cleansing and load to MDG can be utilized for SAP ECC data
migration.
Utilize best of breed
 SAP Data Services to be used as the real time data quality engine for SAP MDG for validating address
and other data as well as data cleansing, match and merge (de-duplication) etc.
 Enrich master data using 3rd party external services like Reuters, D&B – use them in the ETL jobs or
MDM workflow.
Build bridges
 Use SAP IS for embedded data quality scorecards in SAP MDG
 Use SAP IS for data quality remediation bridge with SAP MDG
 Utilize out-of-box metadata bridge between Sybase PD, MDG, BW & IS.
In memory is faster
than database
Use SAP HANA for quick processing and faster scale up of SAP Info Steward as well as SAP MDG. It is
also useful for better search and de-duplication.

5. 5
BIM
MDM Architecture – SAP | April 2014
Copyright © 2014 Capgemini. All rights reserved.
More information
This shall be explained in detail in my upcoming book on SAP Data Management.
For more information, please contact:
sukant.pandey@capgemini.com
and
bim@capgemini.com.

6. www.capgemini.com/bim
The information contained in this presentation is proprietary.
Copyright © 2014 Capgemini. All rights reserved.
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