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SAP NetWeaver MDM

Trusted Information Across the Enterprise

EIM Solution Management June 2011

(2)

Preface

Information on how to use this presentation

Note that this presentation sheds light on major capabilities and individual features of

SAP NetWeaver Master Data Management (MDM). For an overview of SAP

NetWeaver Data Management (MDM) from a business perspective, we’d recommend

to go through the separate

SAP NetWeaver Master Data Management Overview

presentation

first.

In addition, you may watch a dedicated

presentation informing on MDM Business

Content

.

As a general source of information, please check the

SAP Enterprise MDM home

page

and the

SAP NetWeaver Master Data Management topic page

in the SAP

Developer Network.

(3)

Agenda

SAP’s Master Data Management Solution incl. SAP NetWeaver MDM

SAP NetWeaver Key Capabilities

Data Integration/Synchronization

Data Modeling

Data Quality

Workflow and Web Services

Data Stewardship

Manageability

Summary

(4)

Establish Trust in your Master Data

SAP Solutions for Enterprise Master Data Management

Automate master data governance

processes in accordance with your

data governance policies and business

processes

Gain a single view of master data from

SAP and non-SAP systems

Pre-packaged business usage

scenarios for faster time-to-value

Integrated with BusinessObjects Data

Services and Information Steward

Use SAP ecosystem to define a

winning MDM strategy and faster

implementation

1,500+ customers

(5)

SAP Master Data Governance

Out-of-the-box

Applications to create,

maintain, and replicate

master data

SAP NetWeaver MDM

Toolset to consolidate,

harmonize, and share

master data

SAP BusinessObjects Data Services and Information Steward

Industry leading data

quality, integration,

profiling, and visualization

SAP Enterprise Master Data Management

(6)

SAP NetWeaver Master Data Management

Bringing clarity on your master data across the enterprise

Which employee should we assign?

Do I have the right product?

Who is my best supplier?

Who is my customer? ERP 1 Part: 2574 ERP 2 Part: 0814 ERP 3 Part: 1235

=

=

(7)

SAP NetWeaver Master Data Management

Versatile scenarios based on generic infrastructure

Generic Scenarios

 Data Consolidation

 Data Harmonization

 Collaborative Data Creation

Horizontal Scenarios

 Customer Data Management

 Product Information Management

Industry Scenarios

 Global Data Synchronization

 Aggregate Physician Spend

Embedded Scenarios

(8)

Generic MDM Scenarios

Basic description

Master Data Consolidation

 Load master data from client systems

 Identification and consolidation of similar or identical objects

 Provision of key mapping for unified, company-wide analytics and business operations

Aggregate master data across SAP and non-SAP systems into a centralized master data repository. Once data is consolidated, you can search for data across linked systems, identify identical or similar objects across systems, and provide key mapping for reliable companywide analytics and reporting.

Master Data Harmonization

 Master Data Consolidation plus

 Distribution of consolidated data to client systems

 Local completion of master data with application-specific information

Consolidate and harmonize master data from

heterogeneous systems. Ensure high quality master

data by distributing harmonized data that is globally relevant using distribution mechanisms. Allow

subscribing applications to enrich master data with locally relevant information.

Collaborative Master Data Processes

 Centrally controlled creation of master data in heterogeneous contexts, e.g., by integrating SAP

NetWeaver BPM to facilitate master data processes with automated and human activities

 Distribution to client systems and local completion with application-specific information

Support company quality standards by ensuring the central control of master data, including

maintenance and storage. Distribute master data to client systems as required using distribution

(9)

Master Data Consolidation

Become the brains of the enterprise

Consolidation process

consists of the following actions

Load data from remote systems

(SAP and non-SAP) using native MDM features or leveraging SAP

BusinessObjects Data Services

Cleanse the master data using native MDM features or leveraging SAP

BusinessObjects Data Services

Create cross-system key mapping

Provide a single version of the truth

MDM Consolidate Master Data … … … … Consolidate Load Validate & Enrich De- Duplicate

(10)

Master Data Harmonization

Align the complete system landscape

Distribution process

consists of the following actions

Subscribe remote systems to enrich master data with globally relevant information

Distribute data to remote systems (SAP and non-SAP)

Perform local completion of master data with application-specific information if required

Distribute Master Data MDM … … … … Distribute Synchronize

(11)

Collaborative Master Data Processes

Ensure consolidated master data from the beginning

Collaborative data creation process leveraging SAP Business Process Management, involving

 Multiple approval levels e.g.

different managers or departments

 Sustained data quality checks and global duplicate checks prior to data creation ensure high quality master data

 MDM repository contains

consolidated and reliable master data fueling enterprise business processes

SAP NetWeaver BPM

NW

MDM Create and syndicate Request

Search

Check Approve

Web Service calls

(12)

Cleansing, enrichment, de-duplication, quality analysis Flexible business-level modeling, hierarchy management, and layout composition Integrate and propagate data

Manageability

SAP NetWeaver MDM Capabilities

Facilitating utmost business process performance

Data Modeling

Workflow and

Web Services

Data Quality

Data Stewardship

Data Integration/

Synchronization

Service-based data access and flexible Workflow integration Command on data via

flexible UI , authorization etc., active data control

System monitoring, transport management,

(13)

MDM Technology Capabilities

Data Integration/Synchronization - Overview

SYSTEM

INTEGRATION

MDM

Integrate Data

 Advanced Extract, Transform and Load capabilities

 Field/value mapping and import maps for automated import

 Automated and manual import

 Supports point-to-point and brokered integration e.g. utilizing

SAP NetWeaver PI or Web services

 Optional: connectivity with

SAP BusinessObjects Data Services for ETL processes

Propagate Data

 Syndication of consolidated information

 Automated and manual export

Data Integration/

(14)

Process Flow for Importing Master Data

Using native MDM import mechanisms

* Basically the same for both reference data and master data

Sequence of this process*

1) Extract master data from remote

systems and transfer to SAP NetWeaver Process Integration

2) Transform incoming data and send

to MDM Import Server

3) Process data with MDM Import

Server and send to MDM Server

4) Persist data in MDM repository

5) Access data using MDM Data

Manager (or SAP NetWeaver Portal) 1 2 3 4 5 MDM Server MDM Import Server MDM Data Manager 5 4 3 1 MDM SAP NetWeaver PI 2 Import

(15)

Integrating Data

Start with initialization process

Run initialization process

 Retrieve reference data (customizing)

from SAP applications like ERP, CRM and SRM

 Use generic extractor (independent of

MDM data model and SAP remote system)

 Transfer reference data to MDM in an

XML format

 Leverage predefined connection

information (MDM ports incl. import maps)

 Process the XML files with MDM Import

Server and import data into MDM repository

* SAP Note 964991:This note specifies the PI and PI_BASIS support packages with which the generic extractor is delivered.

MDM remote system extractor* to initialize

MDM repositories

(16)

Integrating Data

Using MDM Extractor for master data

Run extraction process

 Extract master data from major

SAP applications (R/3, ERP, CRM, SRM, BW) using generic extractor

 Send data to SAP NetWeaver PI

 Transform incoming master data and

send messages in XML format to MDM

 Leverage predefined connection information (MDM

ports incl. import maps)

 Process the XML files with MDM Import Server and

import data into MDM repository

* SAP Note 964991:This note specifies the PI and PI_BASIS support packages with which the generic extractor is delivered.

MDM remote system extractor* for

automating extraction of master data

(17)

Integrating Data

Interactively using MDM Import Manager

Required steps to import data

 Select MDM repository as destination

 Connect to source data file or database

 Identify source and destination tables

 Map fields/ values from source to

destination incl. transformation if required

 Match records based on key fields to identify

whether new records should be created or existing records should be updated

 Import records to transfer data into the MDM

repository

* MDM Import Server can be utilized for periodic import of master data.

Intuitive UI to import master data from various

sources*

(18)

Integrating Data

Leveraging SAP NetWeaver MDM Business Content

Out-of-the-box data models

 Contain data structure mappings for major SAP applications like ERP, CRM and SRM

 Include matching content for Business Partner and Product data model

 Can be used as starting point for defining custom data models

Plus integration content

 Provide generic MDM extractors for reference data and master data

 MDM business content for

SAP NetWeaver PI SAP NetWeaver Portal

Business Partner Product Employee Vendor Material Customer

SAP ERP related model

Suite-related model

Predefined business content for multiple business

objects and major SAP applications

(19)

Process Flow for Integrating Master Data

Leveraging SAP BusinessObjects Data Services

Sequence of this process

Extract master data from remote systems using SAP BusinessObjects Data Services Cleanse data, match duplicates and deliver to MDM Import Manager

Map data using MDM Import Manager and send to MDM Server

Persist data in MDM repository

Access data using MDM Data Manager for post-processing (or SAP NetWeaver Portal)

1 2 3 4 5 MDM Server Import MDM Import Manager MDM Data Manager 5 4 3 1 MDM SBOP Data Services 2

Third party source systems

Option to use ETL capabilities of SAP

Business Objects Data Services

(20)

Integrating Data

Outbound integration with MDM Syndicator

Required steps to distribute data

 Connect to a source MDM repository

 Define map or apply predefined map, incl.

remote system and mapping information

 Select records to syndicate by searching and

suppressing

 Execute syndication manually or periodically*

* MDM Syndication Server can be utilized for periodic distribution of master data

Intuitive user interface to distribute master

data to various targets

(21)

SAP NetWeaver MDM Capabilities

Data Modeling - Overview

Business-level modeling

 Supporting the needs of the data expert across all data domains

Extensibility and ability to built your

own models

 Predefined data models with versatile extension options

 Model-driven architecture to define custom objects

Support for industry-specific

requirements

 Easy modeling capabilities to comply with industry standards such as UNSPSC, eCl@ss

(22)

Creating and Maintaining Master Data

Easily maintain:

 Complex hierarchies and taxonomies

 Reference data

Assign values to records via

multi-valued lookups, hierarchies, and

taxonomies

Quickly find and update multiple

records at once

Compare and merge multiple records

using side-by-side comparisons

* MDM iViews, APIs, and Web services can also be utilized to access master data stored in an MDM repository

MDM Data Manager* to search, create, edit, and structure content stored in

an MDM repository

(23)

© 2011 SAP AG. All rights reserved. 24

Versatile Options in Data Modeling

Support

for

multi-object

repositories

Multiplebusiness objects(=maintables) can residein oneand the same repository

E.g.supplierand productdata canbe storedin onerepository

Records ofdifferentmain tablescan referenceeachother (newfieldtype “Lookup[Main]”)

E.g.asuppliercan be related toseveralproducts

Maintables can sharethe same customizing/lookuptables

E.g.the maintables “customers”and “suppliers”can be connectedtothe table “countries”in order to ensureconsistent informationaboutthe countryof origin ofboth businesspartners

Support for nested structures

New compositedata typetupleallows modellingofnested structures

E.g.productcapacity information dependingon plantand locationor

multipleaddressesofa businesspartnercan holdmultiplephonenumbers

Flexibility for Data Modeling and Complex Objects

(24)

© 2011 SAP AG. All rights reserved. 25

Consolidated Data for Print Publications

Printed catalogs made easy

Automation Creative Design Final DTP Clean data

Publishing features include:

Clean data basis

 By seamlessly integrating with MDM repository

 Leverage MDM data quality features Semi-automation in data publishing

 Predefined output and page layout

 Page maximization Creative design

 Manual intervention for

layout definition and adjustments Adobe InDesign Plug-in

 DTP Finalization

Open interface to third-party publishing software Adobe InDesign 3rd party publishing SW 3rd party publishing SW MDM

Create printed catalogs in a DTP-like

environment

(25)

SAP NetWeaver MDM Capabilities

Data Quality - Overview

Data cleansing, enrichment and

de-duplication

 Normalization and standardization at import incl. field and value mapping

 UoM conversions

 Validations and enrichment to ensure compliance with company standards

 Data quality features (cleansing, rules-based and interactive matching,

comparison and interactive merge)

 Integration with SAP Business Data Services for advanced DQ (e.g. data profiling, address validation, fuzzy

matching, auto-merge, and survivorship)

 Management of key mapping information

(26)

Increasing Data Quality

Leveraging ETL from SAP BusinessObjects Data Services

 For initial and incremental data loads to

SAP NetWeaver MDM from any source via file and Web services based

integration

 Automated data pre-cleansing that

leverages capabilities such as auto merge and survivorship rules

 Out-of-the-box system connectors

Cleanse source data before importing to MDM:

(27)

Increasing Data Quality

With mapping & conversion

Field Mapping

Allows you to map an individual source field to an individual destination field

Value Mapping

Source fields can be mapped at the value level against the legal destination

Conversion

Each source value can manually or automatically be converted or reformatted

(28)

Increasing Data Quality

With validations & assignments

Validations

Can be used to perform all sorts of tests that implement business logic, e.g.

Making sure required fields all have a non-NULL value Making sure non-lookup fields that do not have pick lists to

enforce data integrity have a legal value (e.g. Price > 0) Comparing the values of different fields to make sure the

relative values are legal (e.g. Price > Cost)

(29)

Increasing Data Quality

With validations & assignments

Assignments

Used to calculate and set the value of a field, e.g.

Provide users convenient and “error-free” shortcuts to fill-in fields Set field values depending on workflow events (like “Set status”)

Expressions

MDM expressions are Excel-like formulas that are evaluated by MDM and return a distinct value for each record

Used within MDM in validations, assignments, and calculated fields Define complex formulas based on the data values of the record Evaluate those formulas against a group of one or more records

(30)

Increasing Data Quality

With matching & merging

Matching

 Locates duplicate records for consolidation within an MDM repository

 Supports interactive, strategy-based matching and is exposed in the MDM Data Manager*

 Allows you to:

Define matching strategies Apply these strategies to a

set of records and view the matching results

Merging

 Uses the matching score to decide which of the potential duplicates to merge

 Collapses duplicates into a single record

* Also available via APIs

De-duplication of records for unambiguous and consistent master

data

(31)

Increasing Data Quality

With key mapping

Key Mapping

 Maintains the relationship between the remote system’s identifier (or key) for an object and the corresponding master data object in MDM

 Provides cross-system identification for reliable, company-wide analytics and business operations

 Is the main deliverable of Master Data Consolidation

(32)

© 2011 SAP AG. All rights reserved. 33

Increasing Data Quality

With Enrichment Architecture

MDM sends data elements to a data enrichment provider and receives a response containing data to be updated or inserted in a repository. Process is controlled by the Enrichment Controller, which is an Enterprise JavaBean (EJB).

Open to domain experts

SAP BusinessObjects Data Services XI 3.2

address cleansing and certified ISV solutions can be leveraged in SAP NetWeaver MDM

using the MDM Enrichment Architecture

MDM Enrichment Controller

Enr ic hm ent Adapter Enric hm ent Adapter Enric hm ent Adapter

SAP

SAP

Business Objects certified ISV solutions MDM + DS MDM Dat a Qu a lity Time MDM

Achieve meaningful master data using SAP BusinessObjects Data

Services and external domain expertise partners

(33)

DB Views*

RDBMS

RDBMS

Master Data Server

SAP NetWeaver

SAP BusinessObjects Data Services

Use Cases for DB Views

 SAP BusinessObjects Data Services

 External Matching

 Data Quality Assessment / Reporting

 DB Views are an optimized connectivity

option

 Read-only

 Tight integration

 High Performance

* available per consulting service, consult your SAP consulting representative

DB Views to Directly Connect SAP NetWeaver MDM with SAP BusinessObjects

Increasing Data Quality

(34)

Enhancing BW Data Quality

Facilitate trusted analytics

 Leverage MDM capabilities to improve

data quality in BW

Use MDM de-duplication features to consolidate BW master data Correct historical master data

inaccuracies

Enables cross system analysis based on consolidated group ID/ MDM key mapping

 BW/MDM Connection

Connection via SAP NW PI or MDM ABAP API

BW standard interfaces (Open Hub, DataSource)

Generic BW extractor functionality

+

TRANSACTIONAL DATA MASTER DATA

BUSINESS INSIGHT

Deliver insight with an integrated platform, understand your most

profitable products, best customers and cheapest/reliable vendors

(35)

SAP NetWeaver MDM Capabilities

Workflow and Web Services - Overview

Service-based data access

 Allow consumption and CRUD operations on master data through Web service integration

 Design and create Web services without coding

Workflow integration

 Leverage inherent data management workflow and cross-system business process management

Workflow and

Web Services

Ensure role and task based process flow and

authorize open access to central master data

(36)

Service-enabled access to master data

Using MDM APIs and Web Services

MDM APIs (ABAP, Java, and .NET) offer a broad functional coverage

 Administrate MDM Servers and model repositories

 Access and modify master data

 Exposes MDM matching capabilities and workflow

MDM Web Services are an open interface to the MDM Server

 Generator for Web services based on specific repository structure

 Definition of exposed tables and fields through Web UI

 CRUD operations can be defined on table and field level

xxxx

Service-enabled access to MDM repository with APIs and Web services

(37)

Integrating Data

MDM Web Services (starting with SP04)

 Check in/Check out Records

 Update/Get Key Mapping

 Execute Validations

 Launch/Get Workflow Status

 Execute Assignments

 Matching

 Syndication*

* available as of SAP NetWeaver MDM 7.1 SP 5

(38)

Managing Master Data Operations

Workflows*

Consist of a sequence of steps that allow you to orchestrate a series of operations that include user tasks, validations, and approvals to automate business processes at the data management level

*) - MDM workflow tasks can also be accessed in the Universal Worklist (UWL) via SAP NetWeaver Portal. - SAP NetWeaver MDM can also be integrated with SAP NetWeaver Business Process Management (BPM)

(39)

SAP NetWeaver MDM and BPM – A Perfect Match

Collaborative master data creation process

 Multiple approval levels e.g. different managers or departments

 Sustained data quality checks and global

duplicate checks prior to data creation ensure high quality master data

 MDM repository contains consolidated and reliable master data fueling

enterprise business processes

SAP NetWeaver BPM

MDM Create and syndicate Request Search Check Approve

Web Service calls

(40)

SBOP DS

non SAP

SAP MDM

SAP CRM

Profess Layer: Based on SAP NW BPM, MDM Services can be consumed (generic services in SAP

NetWeaver MDM 7.1 (<=SP3), specific services in SAP NetWeaver MDM 7.1 SP04, SP05)

User Interface Layer: Java Web Dynpro components (delivered with SAP NetWeaver MDM 7.1 SP04,

SP05 or customer specific components based on SAP NetWeaver MDM 7.1)

Generic MDM infrastructure with BPM Integration Architecture

User Interface Layer Process Layer

Workflow and Rules, Services

Role Based UI

UI

UI

(41)

SAP NetWeaver MDM Capabilities

Data Stewardship - Overview

Appropriate User Interfaces to take

action

 Role-specific, web-based data management

 Integrated within the Enterprise Portal or standalone deployment

Authorization management

 Role-based access, views & rights, workflow definition

Command on data management:

measure, monitor, improve

 Mass maintenance support

 Various search options (drill-down-, attribute-, keyword-search etc.)

 Connectivity to SAP Business Data Services for data profiling, data lineage, and impact analysis

(42)

Accessing Data in a Role-Based Manner

Flexible UI strategy

Windows UIs for sophisticated key user master data

operations (e.g. mass changes) and administrative tasks MDM WebDynpro UI components for collaborative MDM,

e.g., in conjunction with SAP NetWeaver BPM*

MDM iView library provides a set of configurable iViews to access an MDM repository in multiple dimensions MDM iViews are

Totally adaptive to the schema structure of the MDM repository to which they are connected

Fully collaborative with other iViews on the page

* available as of SAP NetWeaver MDM 7.1 SP 4

Select the UI strategy for your purpose

(43)

High-performance Data Search

Using Drilldown Capabilities

MDM’s drilldown search has the following features:

 All possible values are always displayed in pick lists

from which one or more values can be selected

 Pick lists are continuously updated to include only

values that are currently valid

 Multidimensional selections can

be made simultaneously from

among different search parameters (such as category, manufacturer, attributes, and keyword) and in any order

 MDM also includes free-form

search incl. a literal search

that accepts typed values and a keyword search that can match keywords in any or all of the fields

Parametric Search

Process of finding records by selecting attributes and/or values (parameters) that must be matched in the records searched

Search entire repository and any item located in a matter of seconds

(44)

SAP NetWeaver MDM Capabilities

Manageability

Manage Track

Monitor System Monitoring

 CCMS and Solution Manager Diagnostic monitoring, root cause analysis

Change and Transport Management

 Integration with SAP Change and Transport System (CTS+)

Comprehensive Authorization Concept

and User Management

 Supports authorization concepts; LDAP integration

Traceability

 Clear change tracking and visualization of data changes

 User- and roles-based maintenance activities documented in audit logs

Manageability

Ensure technical operation and

manageability of MDM

(45)

Auditing & Compliance

Clear change tracking UI to

visualize data changes

Authorization concept definition

in MDM Console

User- and roles-based

maintenance activities documented in audit logs

(46)

SAP NetWeaver MDM Info Collector

Snapshot of system performance

Speed up support through

streamlined problem analysis

Collect all relevant system

performance in a single reporting environment

Beneficial for SAP support and

(47)

Ensuring Technical Operations

As a prerequisite for top-notch master data management, SAP NetWeaver

MDM ensures reliability of technical operations

For a complete picture of how MDM ensures

technical operations (such as monitoring, transport

management etc.) see the

Solution Operations Guide

(48)

SAP NetWeaver Master Data Management 7.1

Cross-domain MDM Infrastructure

Two of the top three finalists of the Gartner MDM Excellence Awards 2009 are SAP NetWeaver MDM customers. Kraft Foods and BP were ranked 1st and 2nd by a team of Gartner analysts based on their

successful implementations of very complex MDM projects. Gartner MDM Excellence Awards 2011 winner is SAP NetWeaver MDM customer Lexmark International.

 Great flexibility in data modeling and support for complex data structures

 Optimized inbound & outbound processing, e.g.

 Native MDM adapter for SAP NetWeaver PI

 Option to use SAP BusinessObjects Data Services for integration of external data sources

 Integration with SAP NetWeaver standard administration and life-cycle components

 Optionally leveraging SAP BusinessObjects data quality capabilities

 Model-driven generation of Web services

 Integration with SAP NetWeaver BPM for collaborative data management

(49)

Summary

Key Takeaways

SAP NetWeaver MDM is the generic

cross-domain infrastructure

supporting all domains and use cases in the enterprise.

Combining SAP NetWeaver MDM and BPM provides a

flexible

process environment

for collaborative master data

maintenance in heterogeneous environments

SAP NetWeaver MDM combined with SAP Business Objects

Data Services provide unparalleled master data excellence

ensuring

insight, quality

and

process

enablement

SAP will lead the industry in helping our customers to turn master

data into a differentiating corporate asset facilitating best-run

(50)

Thank You!

Contact information: Markus Ganser

SAP EIM Solution Management

(51)

© 2011 SAP AG. All rights reserved. 40 No part of this publication may be reproduced or transmitted in any form or for any purpose

without the express permission of SAP AG.

The information contained herein may be changed without prior notice.

Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors.

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SAP, R/3, SAP NetWeaver, Duet, PartnerEdge, ByDesign, SAP BusinessObjects Explorer and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries..

© 2011 SAP AG. All rights reserved

Business Objects and the Business Objects logo, BusinessObjects, Crystal Reports, Crystal Decisions, Web Intelligence, Xcelsius, and other Business Objects products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Business Objects Software Ltd. in the United States and in other countries.

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– over the February 2006–January 2007 period, Manx Gas’s profitability (measured using the ROCE) was within the benchmarked range of the cost of capital, allowing the conclusion

Registration agent, Consumer.. 7) Access Control List in outsourced registration agencies if established at registration, sent to HRS 8) consumer surrogate list (BA v1.9 C-79)

A proven and flexible multidomain master data management (MDM) solution on a single platform, Informatica MDM enables rapid deployment and easy extensibility across the enterprise

Based on the filter criteria by supplier, the corresponding items that exist in both the source file as well as in your catalog must be updated, new items in the source file must

The offset for lost volume damages is implicitly invited by section 2-718(3). 1981) (holding that damages should be calculated at cost of performance even if