SAP MDM Key Capabilities

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SAP NetWeaver MDM
Trusted Information Across the Enterprise Key Capabilities

SAP NetWeaver Solution Management July 2009

This presentation is a preliminary version and not subject to your license agreement or any other agreement with SAP. This document contains only intended strategies, developments, and functionalities of the SAP NetWeaver MDM® product and is not intended to be binding upon SAP to any particular course of business, product strategy, and/or development. Please note that this document is subject to change and may be changed by SAP at any time without notice. SAP assumes no responsibility for errors or omissions in this document.

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The information in this document is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information on this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or noninfringement. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.

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) in the areas of master data integration, master data operations and master data quality. 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 NetWeaver Master Data Management homepage and the corresponding release-specific MDM site regularly.

Agenda

1. 2. 3. 4. 5. 6.

The Need for Mastering Master Data Capability Overview Integrate Your Master Data – Getting a Trusted Base and ServiceEnabled Access Control Your Master Data – Operate the Trusted Base Make Your Master Data a Real Asset – Ensure Master Data Quality Summary

Master Data is Crucial to Business Agility

Business agility in heterogeneous landscapes requires trust in master data

Master data management

Applying master data management as a foundation for cost savings and optimized business and analytical processes means that you:
Integrate your master data across the landscape to get a trusted base providing service-enabled access Efficiently operate this trusted base and control the data Turn your master data into company asset by achieving utmost data quality

Overall Impact From Bottom Up
By poorly managed master data

Analytics

Business Execution

Master Data

Quality level

M&A

One-off cleansing

Time

Quality of master data dramatically impacts transactional and analytical processes What is worse, you’ll only notice it after the damage is already done

SAP NetWeaver Master Data Management
Bringing clarity on your master data

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

Agenda

1. 2. 3. 4. 5. 6.

The Need for Mastering Master Data Capability Overview Integrate Your Master Data – Getting a Trusted Base and ServiceEnabled Access Control Your Master Data – Operate the Trusted Base Make Your Master Data a Real Asset – Ensure Master Data Quality Summary

Aligning Master Data
Facilitate utmost business process performance SAP NetWeaver MDM capabilities ensure high quality standards throughout the enterprise
Mapping & Conversion
Normalize and standardize information

Key Mapping
Provide cross-system identification to ensure enterprise-wide data quality

Validations & Assignments
Ensure compliance according to defined criteria

Matching & Merging
Clean Master Data
De-duplicate records for unambiguous and consistent master data

Enrichment
Achieve more complete and meaningful master data, e.g. by leveraging SAP BusinessObjects Data Services to complement existing DQ capabilities

Workflows
Leverage built in workflows to manage compliance process

Versatility of SAP NetWeaver MDM
Consolidate, harmonize and control master data

SAP NetWeaver Master Data Management
Versatile scenarios based on generic infrastructure

Generic Scenarios
Data Consolidation Data Harmonization Controlled Data Creation

Embedded Scenarios
Supplier Catalog Management

Horizontal Scenarios
Customer Data Integration Product Information Management Improved Business Intelligence

Industry Scenarios
Global Data Synchronization

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, companywide analytics and business operations Master Data Harmonization Master Data Consolidation plus Distribution of consolidated data to client systems Local completion of master data with application-specific information Controlled Data Creation Controlled creation of master data e.g. through integration with SAP NetWeaver Business Process Management, enabling 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 mechanisms. Aggregate master data across SAP and nonSAP 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.

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.

Master Data Consolidation
Become the brains of the enterprise
Consolidate master data within a heterogeneous system landscape
Consolidate Master Data

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
Consolidate
Load Validate & Enrich DeDuplicate

MDM









Master Data Harmonization
Align the complete system landscape
Distribute consolidated master data within a heterogeneous system landscape
Distribute Master Data

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 …

MDM







Distribute
Synchronize

Controlled Data Creation
Ensure consolidated master data from the beginning Fully control master data creation upfront
Search

Governed data creation process leveraging SAP Business Process Management (BPM), involving
SAP BusinessObjects Data Services for data quality checks SAP NetWeaver MDM as repository for consolidated data and distribution instance

Request Check

New record …

Approve

MDM … … …



Create and syndicate

SAP NetWeaver Master Data Management 7.1
A Great Leap Forward

Great flexibility in data modeling and support for complex data structures Optimized inbound and outbound processing (e.g. native MDM adapter for SAP NetWeaver PI) Integration with SAP NetWeaver standard administration and life-cycle components Pristine data quality (e.g. through connectivity to SAP BusinessObjects Data Services) Flexible generation of Web services
"This is an important release that addresses a number of core issues in the technology, and is a big step forward for SAP MDM".
Andy Hayler, CEO, The Information Difference (Source: http://www.it-analysis.com)

Agenda

1. 2. 3. 4. 5. 6.

The Need for Mastering Master Data Capability Overview Integrate Your Master Data – Getting a Trusted Base and ServiceEnabled Access Control Your Master Data – Operate the Trusted Base Make Your Master Data a Real Asset – Ensure Master Data Quality Summary

MDM Key Capabilities
What they are used for
Master Data Integration Information exchange between the central MDM repository and connected business applications Extraction from and syndication to remote systems Service-enabled access to MDM data with APIs and Web services Master Data Operations Processing layer that offers the right tools to centrally model and manipulate master data Comprises the relevant features involved in master data orchestration and processing Master Data Quality Essential capabilities of MDM and SAP BusinessObjects Data Services guarantee high quality standards throughout the enterprise Enable cross-system data consistency Master Data Integration bundles the features applied to integrate MDM with other technology layers of SAP NetWeaver, SAP BusinessObjects Data Services, the SAP Business Suite, and 3rd party applications. Specific topic areas include the inbound and outbound data transfer process, and the service-enabled access to MDM data.

Master Data Operations provides the processing layer ensuring that the right people have the right tools to manage master data. Specific topic areas include data modeling, rolebased data access, search, workflow-enabled data maintenance, and data publishing. Master Data Quality includes the whole array of features used to ensure utmost quality standards regarding accuracy, validity, completeness, consistency, or timeliness. Specific topic areas include data normalization and standardization, data validation data enrichment, and de-duplication.

Versatility of SAP NetWeaver MDM
Data Integration (inbound to MDM)

Data Integration Focus (inbound)

The extraction process includes
Extract reference data and actual master data from SAP Business Suite leveraging MDM Business Content Use MDM capabilities for data imports from various sources

Process Flow for Integrating Master Data
Using native MDM import mechanisms Run extraction process automatically without user interaction
5

MDM

MDM Server

Sequence of this process*
1) 1

4
MDM Data Manager

Extract master data from remote systems and transfer to SAP NetWeaver PI Transform incoming data and send to MDM Process data with MDM Import Server and send to MDM Server Persist data in MDM repository Access data using MDM Data Manager (or SAP NetWeaver Portal)

3

Import

MDM Import Server

2) 2 3) 3 4) 4 5) 5

2

SAP NetWeaver PI

1

* Basically the same for both reference data and master data

Integrating Data
Start with initialization process
MDM remote system extractor* for an easy initialization of MDM repositories 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.

Integrating Data
Using MDM Extractor for master data
MDM remote system extractor* for automating extraction of master data Run extraction process
Extract master data from major SAP applications (R/3, ERP, CRM, SRM, BW) Use generic extractor (independent of MDM data model and SAP remote system) 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.

Integrating Data
Interactively using MDM Import Manager
Features an intuitive and highly efficient user interface to import master data from various sources* 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.

Integrating Data
Leveraging MDM Business Content
Business content available for multiple business objects and major SAP applications SAP ERP related model 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
Material

Vendor

Employee

Customer

Plus integration content
Provide generic MDM extractors for reference data and master data MDM business content for SAP NetWeaver PI SAP NetWeaver Portal

Suite-related model

Business Partner

Product

Process Flow for Integrating Master Data
Leveraging SAP BusinessObjects Data Services
Using Business Objects ETL capabilities
5

MDM

MDM Server

4

Sequence of this process
1) 1 2) 2 3) 3 4) 4 5) 5

MDM Data Manager

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)
2

3

Import

MDM Import Manager

BOBJ Data Services

1

Third party source systems

Versatility of SAP NetWeaver MDM
Data Integration (outbound from MDM to applications)

The distribution process includes
Syndicate master data to remote systems in various formats Leverage MDM Business Content to distribute reference data and actual master data back to SAP Business Suite applications

Data Integration Focus (outbound)

Integrating Data
Outbound integration with MDM Syndicator
Features an intuitive user interface to distribute master data to various targets 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

Integrating Data
Using MDM APIs and Web Services
Service-enabled access to master data available in an MDM repository with 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

xxxx

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

Agenda

1. 2. 3. 4. 5. 6.

The Need for Mastering Master Data Capability Overview Integrate Your Master Data – Getting a Trusted Base and ServiceEnabled Access Control Your Master Data – Operate the Trusted Base Make Your Master Data a Real Asset – Ensure Master Data Quality Summary

MDM Key Capabilities
What they are used for
Master Data Integration Information exchange between the central MDM repository and connected business applications Extraction from and syndication to remote systems Service-enabled access to MDM data with APIs and Web services Master Data Operations Processing layer that offers the right tools to centrally model and manipulate master data Comprises the relevant features involved in master data orchestration and processing Master Data Quality Essential capabilities of MDM and SAP BusinessObjects Data Services guarantee high quality standards throughout the enterprise Enable cross-system data consistency Master Data Integration bundles the features applied to integrate MDM with other technology layers of SAP NetWeaver, SAP BusinessObjects Data Services, the SAP Business Suite, and 3rd party applications. Specific topic areas include the inbound and outbound data transfer process, and the service-enabled access to MDM data.

Master Data Operations provides the processing layer ensuring that the right people have the right tools to manage master data. Specific topic areas include data modeling, rolebased data access, search, workflow-enabled data maintenance, and data publishing. Master Data Quality includes the whole array of features used to ensure utmost quality standards regarding accuracy, validity, completeness, consistency, or timeliness. Specific topic areas include data normalization and standardization, data validation data enrichment, and de-duplication.

Master Data Operations
The SAP NetWeaver MDM processing layer SAP NetWeaver MDM capabilities facilitating master data operations Role-based Access: Access data stored in MDM using adequate UI technologies, e.g.
MDM Windows clients for power users SAP NetWeaver Portal leveraging MDM iViews for occasional users

Drilldown Search featuring powerful and efficient search capabilities
Allows users to start with all of the items in the repository and then effortlessly zoom in on items of interest

Manage data in the repository, incl. main tables and sub tables records
Leverage built-in data management workflows or SAP Business Process Management to manage compliance process

Centrally manage catalogs (upload, consolidate, search) and publish the information to business processes

Control technical operations
Streamlined technical operations is a prerequisite for overall data processing

Accessing Data in a Role-Based Manner
Role-based access with MDM Windows clients or SAP NetWeaver Portal to MDM repositories Accessing data stored in MDM using adequate UI technologies
Windows UIs for sophisticated key user master data operations (e.g. mass changes) and administrative tasks MDM iView library provides a set of configurable iViews to access an MDM repository in multiple dimensions Ability to design and configure specialized portal pages for a set of user requirements 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 MDM

Searching Data Using Drilldown Capabilities
Entire repository can be easily searched and any item located in a matter of seconds 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

Creating and Maintaining Master Data
MDM Data Manager* to search, create, edit, and structure content stored in an MDM repository Easily maintain:
Complex hierarchies and taxonomies Reference data

Assign values to records via multivalued 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

Versatile Options in Data Modeling
Flexibility for Data Modeling and Complex Objects
Support for multi-object repositories
Multiple business objects (=main tables) can reside in one and the same repository E.g. supplier and product data can be stored in one repository Records of different main tables can reference each other (new field type “Lookup [Main]”) E.g. a supplier can be related to several products Main tables can share the same customizing/lookup tables E.g. the main tables “customers” and “suppliers” can be connected to the table “countries” in order to ensure consistent information about the country of origin of both business partners

Support for nested structures
New composite data type tuple allows modelling of nested structures E.g. product capacity information depending on plant and location or multiple addresses of a business partner can hold multiple phone numbers

© SAP 2009 / Page 36

Orchestrating Master Data Operations
Leverage built-in data management workflows to manage compliance process 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)

Supplier Catalog Management
Manage supplier catalogs seamlessly in the procurement process
Load of supplier catalogs into SRM/MDM catalog Quick data access by in-memory enabled parametric search Integration into procurement process within SRM and ERP

Manage Supplier Catalogs
MDM
SRM

Procurement

Supplier Catalogs

Managing Your Master Data Catalogs
Centrally manage catalogs (upload, consolidate, search) and publish the information to business processes Catalog management from an overall process perspective
Enrich loaded data with additional information, such as images Run approval workflows and validations to ensure data consistency Visualize consistent data on the Web catalog Use powerful search capabilities to select required items and put them in a shopping cart for further processing

Consolidated Data for Print Publications
Printed catalogs made easy
Create printed catalogs in a DTP-like environment 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
3rd party publishing SW

3rd party publishing SW

Automation

MDM

Clean data

Final DTP
Adobe InDesign

Creative Design

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

Agenda

1. 2. 3. 4. 5. 6.

The Need for Mastering Master Data Capability Overview Integrate Your Master Data – Getting a Trusted Base and ServiceEnabled Access Control Your Master Data – Operate the Trusted Base Make Your Master Data a Real Asset – Ensure Master Data Quality Summary

MDM Key Capabilities
What they are used for
Master Data Integration Information exchange between the central MDM repository and connected business applications Extraction from and syndication to remote systems Service-enabled access to MDM data with APIs and Web services Master Data Operations Processing layer that offers the right tools to centrally model and manipulate master data Comprises the relevant features involved in master data orchestration and processing Master Data Quality Essential capabilities of MDM and SAP BusinessObjects Data Services guarantee high quality standards throughout the enterprise Enable cross-system data consistency Master Data Integration bundles the features applied to integrate MDM with other technology layers of SAP NetWeaver, SAP BusinessObjects Data Services, the SAP Business Suite, and 3rd party applications. Specific topic areas include the inbound and outbound data transfer process, and the service-enabled access to MDM data.

Master Data Operations provides the processing layer ensuring that the right people have the right tools to manage master data. Specific topic areas include data modeling, rolebased data access, search, workflow-enabled data maintenance, and data publishing. Master Data Quality includes the whole array of features used to ensure utmost quality standards regarding accuracy, validity, completeness, consistency, or timeliness. Specific topic areas include data normalization and standardization, data validation data enrichment, and de-duplication.

Consolidation with Sustained Data Quality
Using native MDM capabilities and BusinessObjects Data Services

Load data from SAP and non SAP sources Leverage native MDM capabilities and/or SAP Business Objects Data Services to raise master data quality Cleansing De-duplication Validation Enrichment Use MDM processing layer for Mass maintenance Workflow-orchestrated processing Provisioning of key mapping
Manage Data Quality

MDM

A1 = B2

Defining Data Quality
Master data of high quality is mandatory for efficient and error-free business process execution The state of completeness, validity, consistency, timeliness, and accuracy that makes data appropriate for a specific use Completeness
Contains all information required to execute processes

Validity
Does not contain wrong information

Consistency
Does not contain contradicting or duplicate information

Timeliness
Presents required up-to-date information to a consumer on time

Accuracy
Information adheres to defined formats and standards

Versatility of SAP NetWeaver MDM
Comprehensive data quality framework

Data Quality Focus

Validate master data Enrich master data using e.g. SAP BusinessObjects Data Services De-duplicate master data

Leverage MDM workflow or SAP NetWeaver BPM to manage compliance process Enforce data governance through user roles, security, and audits to prevent future data problems

Increasing Data Quality
Leveraging ETL from SAP BusinessObjects Data Services
Cleanse source data before importing to MDM

Option to use ETL capabilities of 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

Increasing Data Quality
With mapping & conversion
Normalization and standardization of information with MDM Import Manager

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

Increasing Data Quality
With validations & assignments
Ensure compliance according to defined criteria with Validations and 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)

Increasing Data Quality
With validations & assignments
Ensure compliance according to defined criteria with Validations and 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

Increasing Data Quality
With matching & merging
De-duplication of records for unambiguous and consistent master data Matching
Locates duplicate records for consolidation within an MDM repository Supports interactive, strategybased 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

Increasing Data Quality
With key mapping
Provide cross-system identification to ensure enterprise-wide data quality
A remote system’s objects are mapped to master data objects within MDM using 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

Increasing Data Quality
With Enrichment Architecture
Achieve complete and meaningful master data using SAP BusinessObjects Data Services and external domain expertise partners MDM sends data elements to an external data enrichment provider and receives a response containing data to be updated or inserted in a repository. Open to domain experts
SAP BusinessObjects Data Services XI 3.1 address cleansing and certified ISV solutions can be leveraged in SAP NetWeaver MDM using the MDM Enrichment Architecture
Data Quality

Enrichment Adapter

Enrichment Adapter

Business Objects

certified ISV solutions

SAP
MDM + DS MDM MDM

MDM Enrichment Controller

Time
© SAP 2009 / Page 53

Enrichment Adapter

SAP



Enhancing BW Data Quality
Facilitate trusted analytics
Deliver insight with an integrated platform, understand your most profitable products, best customers and cheapest/reliable vendors 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
TRANSACTIONAL DATA

MASTER DATA

+

Direct BW/MDM Connection
BUSINESS INSIGHT

“Point-to-point” connection Automatic metadata and master data transfer BW standard interfaces (Open Hub, DataSource) Generic BW extractor functionality

Agenda

1. 2. 3. 4. 5. 6.

The Need for Mastering Master Data Capability Overview Integrate Your Master Data – Getting a Trusted Base and ServiceEnabled Access Control Your Master Data – Operate the Trusted Base Make Your Master Data a Real Asset – Ensure Master Data Quality Summary

Summary
Key Takeaways

SAP NetWeaver MDM is the source of truth for enterpriseclass master data

SAP BusinessObjects Data Services is the market-leading* single platform for enterprise-class data integration and data quality 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 business execution and decision-making

*Source: SAP BusinessObjects Positioned as Market Leader in 2008 Gartner Magic Quadrant for Data Integration and Data Quality Management

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