SAP NetWeaver MDM Overview Harmonized IT Landscapes With Clean Master Data

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  • SAP NetWeaver Master Data Management Harmonized IT landscapes with clean master data

    EIM Solution Management

    October 2011

  • 2011 SAP AG. All rights reserved. 2

    Agenda

    Customer Challenges with Master Data

    Consolidate Master Data In Heterogeneous Landscapes

    Current Release: SAP NetWeaver MDM 7.1

    Customer Adoption

    Conclusion and Key Take Aways

  • 2011 SAP AG. All rights reserved. 3

    Master Data Challenges Materialize Across the Organization

    Reduced Sales Effectiveness

    Lack of consolidated view of customer data across all channels

    Customer transactions are compromised due to limited view of the facts

    Sub-optimal Procurement Decisions

    Lack of transparency relating to suppliers and products

    High costs due to insufficient supplier selection and rationalization

    Delayed Go-to-Market Process

    Failure to capitalize on market opportunity when introducing new products

    Lack of real-time collaboration with front office, thus hindering customer services

    Ineffective Business Decisions

    Lack of consistent information impedes to make critical decisions supporting innovation

    Compromised business dynamics with negative impact on managing resources effectively

  • 2011 SAP AG. All rights reserved. 4

    Overall Impact From Bottom Up By poorly managed master data

    Business Execution

    Analytics

    Master Data

    Time

    Qualit

    y le

    vel

    Quality of master data dramatically impacts transactional and analytical

    processes

    What is worse, youll only notice it after the damage is already done

    M&A

    One-off cleansing

  • 2011 SAP AG. All rights reserved. 5

    Establish Trust in Your Key Information SAP Solutions for Master Data Management

    SAPs solutions for Master Data Management facilitate data consistency across multiple systems for streamlined business processes (operational MDM) and

    enterprise reporting (analytical MDM) while ensuring data stewardship and master

    data governance.

    Multi-domain coverage supporting diverse implementation styles and usage types

    Generic infrastructure plus domain-specific business packages and ready-to-run

    applications

    Support for SAP Business Suite-centric and heterogeneous landscapes

    Industry-specific and horizontal use case coverage

  • 2011 SAP AG. All rights reserved. 6

    SAP Enterprise Master Data Management Integrated Solution Suite Addressing All Customer Needs

    SAP Master Data Governance SAP NetWeaver MDM

    Out-of-the-box, domain-specific

    governance applications built on SAP

    Business Suite to centrally create,

    change and distribute master data

    Multi-domain capability

    to consolidate and share

    master data across

    system landscape

    SAP BusinessObjects Data Services/Information Steward

    Industry leading data quality, integration, profiling & visualization

  • 2011 SAP AG. All rights reserved. 7

    SAP NetWeaver Master Data Management Multi-domain coverage and versatile use across the enterprise

    Consolidate and Harmonize Your Master Data

    Extract, load and de-duplicate master data from SAP or non-SAP systems

    Provide key mapping information and align key data across the entire organization

    Build Business Processes on Excellent Master Data

    Create and maintain master data in a collaborative and controlled process

    Increase Data Quality

    Guarantee high data quality with SAP NetWeaver MDM and SAP BusinessObjects Data Services capabilities

    Apply Pre-defined Business Scenarios

    Product Information Management

    Customer Data Management

    Global Data Synchronization

  • 2011 SAP AG. All rights reserved. 8

    MDM

    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

    A1 = B2

  • 2011 SAP AG. All rights reserved. 9

    MDM

    Load data from new systems

    Match new data to internal,

    already consolidated data

    Quick access to consolidated

    information

    Provide key mapping information

    to subsequent

    migration tools

    Acquisition

    acq1000 i4711

    acq1001 i0815

    Merger & Acquisitions (System Consolidation) Integrate the heterogeneous world while raising data quality

    Create

    Key Mapping

  • 2011 SAP AG. All rights reserved. 10

    Harmonization Through Data Distribution Raise data quality in heterogeneous landscapes

    Subscribe remote systems to enrich master

    data with centrally consolidated 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 Consolidated

    Master Data

  • 2011 SAP AG. All rights reserved. 11

    Collaborative Data Creation 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

  • 2011 SAP AG. All rights reserved. 12

    Jane Smith

    4418 N. Str. Chicago, IL 60611

    Leverage best-in-class data quality

    capabilities (cleansing, house

    holding/address validation, fuzzy

    matching, auto-merge, and survivorship)

    Predefined business content for

    customer data facilitating integration

    with SAP landscapes

    Open interfaces for use in

    heterogeneous environments

    Configurable export mechanisms for

    SAP analytical applications

    Customer Data Management One view of customer information anytime anywhere

    Analysis

    Jane Peters

    North Street Chicago, IL 60600

    Jane Peters Smith

    4418 North St. Chicago, IL 60610

  • 2011 SAP AG. All rights reserved. 13

    Predefined business content for

    product data facilitating integration

    with SAP landscapes

    Rich product content management

    Product classification, hierarchy and

    relationship management fueling

    cross- and up-sell potential

    Print/web publishing including layout

    and production

    GEAR

    Parts 1038-GID

    Product Information Management One view of product information anytime anywhere

    A124K

    Parts

    GEAR

    Publish

    Gears BR-2K

    SPIDER GEAR

  • 2011 SAP AG. All rights reserved. 14

    Optimized Supplier Spend Reporting Building the Basis to Optimize Supplier Maintenance

    Cleanse Consolidate Analyze

    MDM

    Extract

    BW

    ERP 1

    Part:

    0815

    Legacy

    Supplier

    791979

    ERP 3 Supplier

    851981

    Enable consistent view on supplier

    spend data

    Provide trusted data enabling accurate

    reporting facilitating the right business

    decisions

    Easy-to-deploy with predefined content

    and data flows

    Direct business impact

  • 2011 SAP AG. All rights reserved. 15

    Aggregate Physician Spend Enable consistent view on physician spend data

    Mr Michael Schmidt Dr.

    St. Joseph's Hospital

    330 East 63 Avenue Suite

    10B

    New York NY 10021-7706

    Total Expenses : $ 5,000

    Mike Schmidt

    University of New York

    330 S 63rd St # 1000

    Manhattan, NY 10012

    Total Expenses: $ 4,000

    Mr. Micheal Schmidt

    Holy Family Clinic

    330 E 63rd Road

    New York NY 10065

    Total Expenses: $ 1,800

    Mr. Michael Schmidt, Dr.

    Schmidt Practice

    330 E 63rd St Ste 1000

    New York, NY 10065-7706

    Total Expenses:

    $ 10,800

    Enable consistent view on physician

    spend data

    Determine when total expenses

    exceed spend limit

    Provide trusted data enabling accurate

    reporting to prevent violation against

    legal requirements such as Physician Payment Sunshine Act in the US

    NW

    MDM

  • 2011 SAP AG. All rights reserved. 16

    Data Pool

    Global Data Synchronization Leverage master data consistency across the supply chain

    Reduce supply chain costs

    with comprehensive

    solution for consumer

    product companies

    Certified to publish

    enriched product data to

    1Sync data pools

    Unidirectional

    communication with R/3

    Data Pool

    Global Registry

    SYNCHRONIZATION

  • 2011 SAP AG. All rights reserved. 17

    NW

    MDM

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