Data Quality Management in an SAP Landscape

Data Quality Management in an SAP Landscape

© 2013 SAP AG or an SAP affiliate company. All rights reserved. 2

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Gartner Magic Quadrant for Data Quality Tools www.sap.com/campaign/na/usa/Gartner_Data_Quality/index.html

SAP ranked as a LEADER in the

“Gartner Magic Quadrant for

Data Quality Tools”.

Magic Quadrant for Data Quality Tools

Source: Gartner (August 2012)

LEADER

http://www.sap.com/campaign/na/usa/Gartner_Data_Quality/index.html


SAP SAP Enterprise Information Management (SAP EIM) SAP Data

Services SAP Data Quality Management (SAP DQM) DQM for SAP

SAP Data Services

SAP Information Steward

SAP Data Migration

SAP Master Data

Governance

SAP NetWeaver Master

Data Management

SAP Content Management

Solutions

SAP Information Lifecycle

Management Solutions

Etc.

ETL

Data Quality

Profiling

Text Analytics

Etc.

DQM for SAP

DQM SDK

Etc.

SAP Information Management (IM)

SAP Data Services SAP Data Quality

Management (SAP DQM)

DQM for SAP

Utilizes SAP DQM’s market-

leading address cleansing,

matching and de-duplication

capabilities within SAP CRM,

SAP ERP and SAP MDG

environments


Human

Input

SAP Data Quality Management for SAP solutions Ensures High-Quality Data in All Applications

SAP

ERP/CRM/MDG Data

Quality

External

Systems

SAP Data Quality

Management, version for SAP

solutions, provides a

prepackaged native

integration of data quality

best practices within the SAP

Customer Relationship

Management (SAP CRM),

SAP Enterprise Resource

Planning (SAP ERP) and SAP

Master Data Governance

(SAP MDG) environments.

En

forc

e D

ata

In

teg

rity


Verify Improve

Real-time data validation

(address reference data available

for 230+ countries)

Batch data cleansing

(ensure ongoing data accuracy

and completeness)

Duplicate record detection

(Potential duplicates are identified

and tracked for best record

resolution)

Clearer, more efficient customer

segmentation

(with the ability to match on

marketing attributes for SAP CRM)

Pre-built best practice data quality

templates

(tuned specifically for SAP ERP,

SAP CRM, and SAP MDG apps)

Detect pre-existing records during

data loads

(Prospect lists, trade show leads,

webinars, etc.)

Seamlessly support key data quality best practices

Data Quality Management, version for SAP Solutions (DQM for SAP) Improve the quality of customer, partner, and supplier data from within SAP ERP, SAP CRM, and SAP MDG applications by

utilizing SAP DQM’s address cleansing and matching capabilities

Enforce


Cleanse and enhance, detect duplicates Data quality capabilities available in real time

Address cleansing and enhancement

Improves productivity

– Minimal data entered, missing elements added

– Parsing corrects misfielded data

– Entry is cased, no need to retype / correct

Suggestion lists prompt for additional content after minimal information entered

Address reference data for 230+ countries regularly updated, ensures data stays relevant

Ability to review and accept (or not) a validated address o Validation results can be overridden in accordance with customer preferences

Geocoding for Business Partner Data

Duplicate Checking

Prevent new duplicates from entering system

Likely duplicates tracked in Cleansing Cases, for later review and resolution

Transparent, out-of-the-box, data quality solution for SAP CRM, SAP ERP and SAP MDG


Automatically completes and corrects entries, then

presents to user for approval

In-complete

Address entered.

Automatic Accurate

address returned in

each address

component


Previously unknown entries are identified, before another duplicate

can be created

List of pre-existing

entries are presented


Multiple language support


The real world is changing, your data as well? Cleanse and update address information when reference data is updated

Quarterly Adjustment Reports

Automates batch data cleansing within SAP

Periodically refresh existing accounts’ address data e.g. after reference data updates

Neurottstr. Dietmar-Hopp-Allee

Provides reports to display addresses for review prior to committing to database

Provides reports to display address errors generated during Quarterly Adjustment

Batch address cleanse and batch matching within SAP CRM and SAP ERP


Closer Look into the Batch Address Reviewer Report



Batch Address Error Report



Stay clean with your internal database over time After external data is loaded or existing data is updated by batch processes

Batch Matching reports

Identify potential duplicates

– After account addresses are

periodically updated, often new

relationships are found

o Existing record had old address writing,

in last 3 months a record with new

address writing has been created

– Batch process can be defined to

match within Index Groups (BUT000,

KNA1 or LFA1) only

– Mark groups of duplicate candidates

for later review via Cleansing Case

routines.



Closer look to Batch Match Report


Support external list upload into SAP CRM

Match incoming records from list against CRM Business Partners

External List Management Detect

pre-existing records during data

loads Prospect lists from Service Bureaus,

leads gathered during trade shows,

webinars

When a file upload to SAP CRM is

executed DQM for SAP detects if lead

already exists during SAP CRM’s ELM

load, before a new prospect is created

Leverage additional marketing attributes

as matching criteria

SAP CRM then allows processing the

identified duplicate records generated by

DQM, version for SAP solution

integration

Batch data processing within SAP CRM


What is SAP Master Data Governance (SAP MDG)?

SAP Master Data Governance

Out-of-the-box, domain-specific governance applications built on SAP Business

Suite to centrally create, change and distribute master data

Data

Maintenance

Validation &

Data Quality Approval

Business Logic

Information Mgmt Data Integration & Quality

External

Services

Local adaptations

in de-central systems


Data quality in SAP MDG: Supplier/customer data models

Out-of-the-box best practices for Address Validation and Duplicate Checks, similar to SAP ERP and

SAP CRM

Address cleansing and enhancement

Duplicate detection

Identify duplicates based on user-specified match criteria/thresholds; preventing new duplicates from entering the system, similar to

SAP ERP and

SAP CRM systems.


Data quality in SAP MDG - Custom searching/look-up

Provides the open framework to perform duplicate checks within any data model using SAP Data

Services.

Open framework for specifying “match code” fields from SAP GUI (i.e. match break-keys)

“Customizable” match fields

Specify Fields that need to be matched on from SAP GUI.

For example: MDG-Material

Specify “Match Code” – Material data model Match Fields Settings

Available with ECC 6.0 Ehp6


How Does the Data Quality Management Solution Work?

SA

P C

lient Inte

rfaces

SAP CRM /SAP ECC/SAP MDG

RFC Server(s) SAP Data

Services

4.x Data Quality

Central Rules

Repository

Postal Validation

Reference Data (subscription license)

SB

OP

B

AdIs

fo

r P

V

(CR

M,E

CC

,MD

G-S

)+ S

BO

P B

AdIs

for

DE

S (

CR

M,E

CC

)

Ga

tew

ay

Bu

sin

ess A

dd

ress

Se

rvic

es

/FLDQ/

RFC1

RFC2

RFC3

DQM for SAP Solutions includes: DQM Business Add-Ins – prebuilt software to enable address cleanse, duplicate check, and matching inside SAP system

Includes custom ABAP code, Views, Tables, specific for data quality activities

DQM’s RFC Server – conduit for data to DS and back again

Pre-built Data Services jobs – specifically tuned for SAP real-time & batch processing, fields, & tables

Data Quality Management Premium – which is licensed for use only within SAP CRM, SAP ERP, SAP MDG

SAP Supported Data Base


Benefits of SAP Data Quality Management, version for SAP

Solutions

Enhances Data Integrity within your system

Streamlines Workflows to Boost Productivity

Helps Establish and Maintain a Single View

Achieve Operational Efficiency

On-entry data validation and duplicate prevention

Periodic data cleansing processing to ensure ongoing data accuracy and completeness

Reduce redundant work and manual data cleansing

End user productivity through use of native UI and data entry validation

Enables trustworthiness of data from data entry to reporting via duplicate record detection

Reduce costs by eliminating downstream data cleansing tasks


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in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty.

SAP 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

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Data Quality Management in an SAP Landscape