Delivering Effective Data Quality and Stewardship - SAPfm.sap.com/data/UPLOAD/files/Delivering...

Delivering Effective Data Quality and

Stewardship

Ina Felsheim EIM Solution Management

copy 2013 SAP AG All rights reserved 2

The information in this presentation 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 SAPs 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 in 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 non-infringement 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 SAPacutes willful misconduct or gross negligence

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

Legal disclaimer


Example Constant vigilance is necessary for effective

information governance

bull Source The Colbert

Report

bull Start 220

bull End 325

bull httpwwwcolbertnationco

mthe-colbert-report-

videos182555january-15-

2007bears---balls---gas


SAP EIM Solutions Proven and Trusted Powering the worldrsquos leading global organizations with trusted information

103 Growth of SAP Information Steward YoY in 2012

11000+ SAP EIM customers world wide

800+ New SAP Data Services Customers in 2012

80 SAP master data projects also include SAP Data Services


SAP Information Management Solutions Run Better with complete and accurate information

Information Lifecycle

Management

Before After

Data Quality

Management

Master Data

Management

Content

Management Enterprise

Modeling

Data

Integration

GOVERN

SAP Data

Services Access integrate

cleanse match and

enhance data

SAP Sybase

PowerDesigner Model data across the

enterprise

SAP NW Information

Lifecycle Management Manage entire lifecycle of

information

SAP Information

Steward Profile monitor quality

metadata mgmt track

business impact

SAP Extended ECM

by OpenText Native access to relevant

information in SAP

Business Suite

SAP Master Data

Governance Centrally create maintain

and replicate master data

Get Clean Stay Clean

Model


SAP Provides Your One-Stop Solution Architect and Map Integration Data Quality Text Analytics and Stewardship

Information Platform Services

SAP BusinessObjects BI platform

SAP Data Services

SAP Information Steward

Data Steward

Data Analyst IT Developer

IT

Administrator

Data

Integration

Data

Profiling

Data

Quality Text

Analytics

SA

P S

ybase P

ow

erD

esig

ner

IT Architect

Metadata

Management

Architect

and Map


Why are Data Services and Information Steward Needed

Information Creation Information Consumption

information

information

Systems of Record

3rd Party Systems

SAP Business Suite

information

information

information

information

Data Warehouse

Systems of Engagement

Employees

Other Systems

Customers

Other Systems

Right data

Right data

Right data Bad data

Bad data

Bad data

SAP Sybase PowerDesigner


Plan Monitor amp Ensure the Quality of all your data D

esig

n tim

e cre

ate

ne

w e

nvir

on

me

nt

Op

era

tion

al tim

e a

pp

ly to

giv

en

lan

dsca

pe

SAP Sybase PowerDesigner SAP Information Steward


SAP Information Steward amp PowerDesigner Integration

Connect PowerDesigner models and

rules to actual implementations

bull Impact and lineage analysis from design

models in PowerDesigner to the physical

RDBMS to ETL to DW to BI implementation

bull Improve data quality and compliance with

re-use of business model domains and their

rules

bull One central business glossary with

PowerDesignerrsquos business terms integrated

with Information Stewardrsquos Metapedia


SAP Information Steward complements SAP Data Services Designed for the Data Stewards

Monitor

Quality

continuously

Improve

Data quality amp

governance

Discover

Understand amp catalog

enterprise data

Assess

Overall

data quality

Define

Rules and

ownership

IT Users can share data quality metrics

with business users and involve them in

owning the data problem

Business Users can see how their information

measures up against information governance rules

and standards


Data Warehouse

Reporting and Analytics

Non-SAP

SAP

New SAP

Data Migration

Common Use Cases

SAP Information Steward amp SAP Data Services (1)

ETL TDP

Data Quality

Application

Data

Sources HANA Sybase IQ

Data Warehouse

Information Steward

Profiling Data Quality

Monitoring

Extract Cleanse

De-duplicate

BI


Master Data Management

Common Use Cases

SAP Information Steward and SAP Data Services (2)

Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP

Quality of Data within

Business Applications


Information Management Solutions from SAP

Remarkable customers

Customer SAP Solutions KPIHighlights BusinessIT Benefits

bull SAP Information Steward

bull SAP Sybase PowerDesigner

bull SAP NetWeaver BW

60 IT cost reductions while achieving data quality control

bull Control of data quality and data quality measurements

via SAP Information Steward software bull Reduction is cost of 60 by reducing IT involvement in

the programming and data design cycles in the SAP NetWeaver BW component

bull Extended support for data governance

bull SAPreg Sybasereg IQ

bull SAP Data Services


3 hours Loading time for data that once took 3 days

bull Improved client relationship by delivering meaningful measurable results Faster gathering processing and analysis program and campaign-related data from its clients and their dealers

bull Dealerships regional offices and managers at headquarters now receive daily marketing campaign updates enabling them to make adjustments in the campaigns to achieve optimal results

bull In the past this process took about a month That meant Minacsrsquo clients were always looking at past results which were not timely enough to enable them to review and optimize their efforts to achieve the greatest possible results

All information looks like noise until you

break the code

--Neil Stephenson


Business Value Analysis

Data Quality Financial Impact Calculator

Connect financial ROI to data quality

and information governance initiatives

Understand and demonstrate how bad

data effects business bottom line

Identify potential savings using What-If

analysis of quality level and costs

See drivers and metrics of financial

impact calculation per failure


Information Steward

Data Quality Advisor

Data Quality Advisor visualizes potential data corrections

Data Services Workbench

Assess Recommend Tune

Guides data stewards to rapidly develop a solution to measure and

improve the quality of their information assets

ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward

httpwwwyoutubecomuserSAPInfoSteward


SAP Information Steward collects Metadata from HANA

Ability to collect standard relational objects and information models in HANA

Attribute View Analytic View and Calculation View

Fast searching of any metadata content such as attributes and measures in HANA

copy 2013 SAP AG All rights reserved

SAP Data Services


SAP ERP CRM SAP MDG and MDM

hellipand Non-SAP systems too

BAPIs IDocs Web Services

Impact Analysis Data Lineage

Data

Pro

filin

g

SAP Data Services ldquoInformation Highwayrdquo serving SAP and NON-SAP environments

Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase


Wide connectivity to 40+ systems via drag-n-drop setup

HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP

VCF - Variant Call Format for storing gene sequence variations

ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS

Both direct and changed data

Extract context from any text or binary file types (docs pdfs pptshellip)

Understands 31 languages

Databases FilesTransport Mainframe (with partner)

Unstructured Content

SAP Data Services has a long history of providing broad connectivity to many

different environments and continues with emerging Big Data sources

New Adapter SDK simplifies building connectivity to any

applications and Big Data sources

SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications

PAM information posted at

httpsservicesapcomsapsupportpamhash=s3Ddata2520services26o3Dmost_viewed257Cdesc26st3Dl26rpp3D2026page

3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH

2012 Toyota Highlander 1G1JF27W8GJ178227 Policy

456-788-99 $500 deductible Insured are William Thomas Snow

and Christine W Snow On 10913 received via text message In

accident Need tow truck and Corner of Winter amp Cross Rd Dr

Snow slid through a stop on the snowy road and hit the stop sign

Significant damage to front of the car He was unhappy at tow truck

response time Contact wtsnowmedicalcentercom or

6517721234 Advance Appraisals Inc to come out at 830am

Monday to make further assessment

SAP Data Services integrates data from Unstructured Text More than just name and address

VEHICLELAND

VEHICLEVIN

POLICY NUMBER (CUSTOM)

CURRENCY

PERSON

SENTIMENT

WEAK NEGATIVE SENTIMENT

DATE

MAJOR PROBLEM

REQUEST

URLEMAIL

ORGANIZATION COMMERCIAL

TIME

DAY

PHONE

Who What Where When How much as well as Feelings


Accurate data enables trusted operations and analytics Take action on data issues to resolve discrepancies and silorsquod data

Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski

32 rue Gustave Eiffel

Ris Orangis Icircle-de-France

91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data

across systems Corrected and

Validated data

Consolidated result

creates single view


Improve Product Material data quality using your own

Cleansing Rules

Challenges

Unstructured information written

in multiple ways prevents high

matching rates

Data does not look professional

Benefits

Splitting the unstructured

information into parsed and

discrete fields creates improves

match results

Unified and standardized

information enables consistent

representation of the same

information

Input Data

Glove ultra grip

profit 23 large black

synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large

Material Synthetic Leather

Trademark Pro-Fit 23 Series

Cuff Style Elastic Velcro

Palm Type Ultra-Grip

Color Black

Vendor Mechanix Wear

Standard

Description

Glove ndash Synthetic

Leather Black size

Large Cuff Style

Elastic Velcro Ultra-

Grip Mechanix Wear

Parsed

discrete fields

Standardized

information

Data Integration at SAP Benefits of SAP Data Services


SAP Data Mission

Data integration amp governance everywhere - On-Premise On-Cloud and On-Device

Pervasive source and target support ndash Structured Text Big Data Social Spatial

Better value to the business ndash End user ldquoBI-likerdquo data tools Data Discovery Business

Value Impact Audit services Tight integration with Industry and application offerings

Superior data provisioning performance ndash Batch ETL Real-Time Replication

Federation Event Processing

Improved experience for developers ndash Enterprise Modeling Common Toolsets

Application Extractors Predict Next Step Wizards


SAPrsquos Data Movement options with HANA

Near Real-Time SAP Data Services

Any data source

Complex transformations

Data cleansing geocodes

Relationship identification

Real-Time

Real Real-Time

SLT system

Many DBs supported

Unicode amp Non-Unicode

on Application Layer

Sybase Replication

Server


at Database

Standard DBs support

Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties


E-T-L moves to E-L-T How Data Services Leverages HANA for Transformations

For typical database

targets data transformations

are executed in the DS engine

and then loaded into the

target database

Source Target

For HANA DS stages data

into HANA and lsquopushesrsquo the

execution of transformation

to HANA Views

Data Services automatically

generates the appropriate

HANA View optimizing

in-memory transformation HANA

HANA as Target Source

Extract Transform Load

Extract Load Transform


Data Services for Text Data Processing and Hadoop Access unstructured data via Hadoop Connector

Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services

Data Services connects to Apache Hadoop frameworks HDFS and Hive sources

and targets

bull Read from Hadoop into SAP HANA SAP Sybase IQ etc and Load into Hadoop from

files data stores Web

bull TDPrsquos Entity Extraction transform supports pushdown to Hadoop as a MapReduce job

including HDFS delimited file formats

bull Enhances performance when processing massive amounts of structured and

unstructured data by enabling Entity Extraction on each node in the cluster


Turn raw operational data into enriched information to

support real-time Analytic and Governance initiatives

SAP SLT Sybase Rep Server + Data Services

Integrated solution for enriched CDC data

provisioning across SAP ERP and non-SAP

data replication

Enables changed data sharing between SAP

Sybase Rep Server SAP SLT and Data Services

Leverage native CDC reading from Rep Server

and SAP SLT

With thehellip

Complex data transformation and data quality

management of Data Services

Complex Operational Data

Real-Time Applications

Note SAP SLT amp DS integration is targeted for 42 SP1 release ~Q4 2013


Sybase Replication Server and Data Services Integration

Source

DB

SAP Sybase

Replication Server Suite and non-Suite DBs

SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB

Unified admin GUI and performance

monitoring

Connector

CDC with advanced data transformation and cleansing

Integrate data across 40+ systems and data streams

SAP and non-SAP environments

Ensure data consistency

Enable confidence in data integrity and quality





bull SAP HANA


21M Customers

targeted for personalized offers

bull Extract the required data from 3 sources and

staging a copy of the source data bull Transform the source data into Star-schema

like structures in the staging database bull Load the final data sets rapidly into SAP HANA

from the staging database bull Greater confidence in the data to facilitate

accurate decision making ndash knowing that the data is complete and accurate

bull SAP HANA



bull SAP BusinessObjects Business Intelligence platform

21600x Faster year

End Reporting

5 Reduction in total

overhead costs

3 weeks implementation of HANA environment

bull Increased productivity at customer contact centers with lower cost per transaction

bull Ability to provide customers real-time actionable data

bull Support for next-generation customer service


SAP Data Services 42 amp SAP Information Steward 42 Summary of new features

More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates

Instant data profiling

transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content






bull SAP NetWeaverreg MDM

bull SAP Master Data Governance


11 increase in client satisfaction score $25M in productivity value for Customer and Material data maintenance 100 Attainment of service level agreements for 4 consecutive years

bull ŸGreater client satisfaction of internal business groups

bull ŸIncreased productivity and service levels of the Central Data Management team

bull Drove data quality improvements critical to achieving the companyrsquos 2020 Vision




bull SAP ERP

bull SAP APO

bull SAP Business Suite

40 Master data quality improvement

bull Increased accuracy of data and reports

through centralized maintenance of master data and ongoing data quality monitoring

bull Faster financial close and improved efficiency for financial reporting

bull Better data quality to drive process improvement across multiple business channels


SAP Data Migration Services

Rapid Data Migration for ERP

4 week pilot to migrate 2 of your

business objects end-to-end to your

ERP implementation

Rapid Data Migration for Utilities

Rapid Deployment Service (RDS) for

migrating your billing and CRM data

alongside your Utilities Fast-Track

implementation

Clear pre-defined ready to consume

Rapid Data Migration for Banking


migrating your core banking data

alongside your core banking RDS

implementation

Rapid Data Migration for CRM


migrating your CRM data alongside

your CRM RDS implementation

System Landscape Optimization Services

For your SAP to SAP migration needs

Data Migration Project Review

Assessment of migration approach

readiness go-live risks and mitigation

strategies







bull SAP Best Practices for Data Migration

From 330000 down to 32000 accounts after final cleansing and validation

bull Prediction to double revenue in next 5-10 years

which will be equal to almost $27000 billion

bull Data Migration technique implemented in Kellogg became reusable for any of the companyrsquos acquisitions (Pringles)

bull Data Services became ETL tool around ECC environment

bull Project was delivered in 4 phases preparation blueprint realization and deployment


Why SAP Information Management solutions

Flexible open real-time data platform that allows

users to analyze data simultaneously to enable real-

time business

Exceptional operational and analytical processing

performance with SAP HANA and SAP Sybase IQ

Efficient planning of your Big Data environment with


Complete and accurate information with SAP Data

Services and SAP Information Steward

Seamless user experience of Big Data analysis

with SAP BusinessObjects Business Intelligence tools

Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP

Blog httpscnsapcomcommunityenterprise-information-managementblog


Resources

bull Ginger Gatling et al Enterprise Information

Management with SAP (SAP PRESS May 2012)

wwwsap-presscomproductsEnterprise-Information-

Management-with-SAPhtml

SAP Data Services on SDN

wwwsdnsapcomirjsdnds

bull Information Steward product tutorials

httpscnsapcomdocsDOC-8751

bull Data Quality Advisor videos


bull Information Steward 42 features video

httpscreencastcomtYtktw71CEsI3

bull Installing DQM for CRM

httpscnsapcomcommunitydata-

servicesblog20130718i-installed-dqm-for-sap-you-can-

too

SAP Best Practices content for data migration

httpservicesapcombp-datamigration

bull Data Services Wiki on SAP Community Network

httpwikisdnsapcomwikidisplayEIMData+Services

bull Information Steward Wiki on SAP Community Network

httpwikisdnsapcomwikidisplayEIMInformation+Stewar

d

bull SAP Note 1740516 for Minimum Compatible Versions

httpservicesapcomsapsupportnotes1740516

bull SAP BusinessObjects Data Services Blueprints


bull Enterprise Information Management Use Case Wiki

httpwikisdnsapcomwikixsAWcDQ

Information Governance podcast Bonnie D Graham

ldquoCoffee Break with Game-Changersrdquo (SAP November

2011) wwwvoiceamericacomepisode57866information-

is-kingbut-whos-the-governor

Jon Reed SCN Podcast National Visions SAP EIM

Journey (May 2011)

wwwjonerpcomcontentview40555


The information in this presentation 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 SAPs 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 in 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 non-infringement 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 SAPacutes willful misconduct or gross negligence

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

Legal disclaimer





Report

bull Start 220

bull End 325














Management

Before After

Data Quality

Management

Master Data

Management

Content


Modeling

Data

Integration

GOVERN

SAP Data


cleanse match and

enhance data

SAP Sybase


enterprise

SAP NW Information


information

SAP Information


metadata mgmt track

business impact

SAP Extended ECM


information in SAP

Business Suite

SAP Master Data




Model





SAP Data Services


Data Steward


IT

Administrator

Data

Integration

Data

Profiling

Data

Quality Text

Analytics

SA

P S

ybase P

ow

erD

esig

ner

IT Architect

Metadata

Management

Architect

and Map




information

information

Systems of Record

3rd Party Systems

SAP Business Suite

information

information

information

information

Data Warehouse


Employees

Other Systems

Customers

Other Systems

Right data

Right data

Right data Bad data

Bad data

Bad data




esig

n tim

e cre

ate

ne

w e

nvir

on

me

nt

Op

era

tion

al tim

e a

pp

ly to

giv

en

lan

dsca

pe











rules






Monitor

Quality

continuously

Improve

Data quality amp

governance

Discover


enterprise data

Assess

Overall

data quality

Define

Rules and

ownership






and standards


Data Warehouse


Non-SAP

SAP

New SAP

Data Migration

Common Use Cases


ETL TDP

Data Quality

Application

Data


Data Warehouse

Information Steward


Monitoring

Extract Cleanse

De-duplicate

BI



Common Use Cases


Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP























break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)






Report

bull Start 220

bull End 325














Management

Before After

Data Quality

Management

Master Data

Management

Content


Modeling

Data

Integration

GOVERN

SAP Data


cleanse match and

enhance data

SAP Sybase


enterprise

SAP NW Information


information

SAP Information


metadata mgmt track

business impact

SAP Extended ECM


information in SAP

Business Suite

SAP Master Data




Model





SAP Data Services


Data Steward


IT

Administrator

Data

Integration

Data

Profiling

Data

Quality Text

Analytics

SA

P S

ybase P

ow

erD

esig

ner

IT Architect

Metadata

Management

Architect

and Map




information

information

Systems of Record

3rd Party Systems

SAP Business Suite

information

information

information

information

Data Warehouse


Employees

Other Systems

Customers

Other Systems

Right data

Right data

Right data Bad data

Bad data

Bad data




esig

n tim

e cre

ate

ne

w e

nvir

on

me

nt

Op

era

tion

al tim

e a

pp

ly to

giv

en

lan

dsca

pe











rules






Monitor

Quality

continuously

Improve

Data quality amp

governance

Discover


enterprise data

Assess

Overall

data quality

Define

Rules and

ownership






and standards


Data Warehouse


Non-SAP

SAP

New SAP

Data Migration

Common Use Cases


ETL TDP

Data Quality

Application

Data


Data Warehouse

Information Steward


Monitoring

Extract Cleanse

De-duplicate

BI



Common Use Cases


Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP























break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)











Management

Before After

Data Quality

Management

Master Data

Management

Content


Modeling

Data

Integration

GOVERN

SAP Data


cleanse match and

enhance data

SAP Sybase


enterprise

SAP NW Information


information

SAP Information


metadata mgmt track

business impact

SAP Extended ECM


information in SAP

Business Suite

SAP Master Data




Model





SAP Data Services


Data Steward


IT

Administrator

Data

Integration

Data

Profiling

Data

Quality Text

Analytics

SA

P S

ybase P

ow

erD

esig

ner

IT Architect

Metadata

Management

Architect

and Map




information

information

Systems of Record

3rd Party Systems

SAP Business Suite

information

information

information

information

Data Warehouse


Employees

Other Systems

Customers

Other Systems

Right data

Right data

Right data Bad data

Bad data

Bad data




esig

n tim

e cre

ate

ne

w e

nvir

on

me

nt

Op

era

tion

al tim

e a

pp

ly to

giv

en

lan

dsca

pe











rules






Monitor

Quality

continuously

Improve

Data quality amp

governance

Discover


enterprise data

Assess

Overall

data quality

Define

Rules and

ownership






and standards


Data Warehouse


Non-SAP

SAP

New SAP

Data Migration

Common Use Cases


ETL TDP

Data Quality

Application

Data


Data Warehouse

Information Steward


Monitoring

Extract Cleanse

De-duplicate

BI



Common Use Cases


Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP























break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)






SAP Data Services


Data Steward


IT

Administrator

Data

Integration

Data

Profiling

Data

Quality Text

Analytics

SA

P S

ybase P

ow

erD

esig

ner

IT Architect

Metadata

Management

Architect

and Map




information

information

Systems of Record

3rd Party Systems

SAP Business Suite

information

information

information

information

Data Warehouse


Employees

Other Systems

Customers

Other Systems

Right data

Right data

Right data Bad data

Bad data

Bad data




esig

n tim

e cre

ate

ne

w e

nvir

on

me

nt

Op

era

tion

al tim

e a

pp

ly to

giv

en

lan

dsca

pe











rules






Monitor

Quality

continuously

Improve

Data quality amp

governance

Discover


enterprise data

Assess

Overall

data quality

Define

Rules and

ownership






and standards


Data Warehouse


Non-SAP

SAP

New SAP

Data Migration

Common Use Cases


ETL TDP

Data Quality

Application

Data


Data Warehouse

Information Steward


Monitoring

Extract Cleanse

De-duplicate

BI



Common Use Cases


Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP























break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)





information

information

Systems of Record

3rd Party Systems

SAP Business Suite

information

information

information

information

Data Warehouse


Employees

Other Systems

Customers

Other Systems

Right data

Right data

Right data Bad data

Bad data

Bad data




esig

n tim

e cre

ate

ne

w e

nvir

on

me

nt

Op

era

tion

al tim

e a

pp

ly to

giv

en

lan

dsca

pe











rules






Monitor

Quality

continuously

Improve

Data quality amp

governance

Discover


enterprise data

Assess

Overall

data quality

Define

Rules and

ownership






and standards


Data Warehouse


Non-SAP

SAP

New SAP

Data Migration

Common Use Cases


ETL TDP

Data Quality

Application

Data


Data Warehouse

Information Steward


Monitoring

Extract Cleanse

De-duplicate

BI



Common Use Cases


Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP























break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)





esig

n tim

e cre

ate

ne

w e

nvir

on

me

nt

Op

era

tion

al tim

e a

pp

ly to

giv

en

lan

dsca

pe











rules






Monitor

Quality

continuously

Improve

Data quality amp

governance

Discover


enterprise data

Assess

Overall

data quality

Define

Rules and

ownership






and standards


Data Warehouse


Non-SAP

SAP

New SAP

Data Migration

Common Use Cases


ETL TDP

Data Quality

Application

Data


Data Warehouse

Information Steward


Monitoring

Extract Cleanse

De-duplicate

BI



Common Use Cases


Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP























break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)











rules






Monitor

Quality

continuously

Improve

Data quality amp

governance

Discover


enterprise data

Assess

Overall

data quality

Define

Rules and

ownership






and standards


Data Warehouse


Non-SAP

SAP

New SAP

Data Migration

Common Use Cases


ETL TDP

Data Quality

Application

Data


Data Warehouse

Information Steward


Monitoring

Extract Cleanse

De-duplicate

BI



Common Use Cases


Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP























break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)




Monitor

Quality

continuously

Improve

Data quality amp

governance

Discover


enterprise data

Assess

Overall

data quality

Define

Rules and

ownership






and standards


Data Warehouse


Non-SAP

SAP

New SAP

Data Migration

Common Use Cases


ETL TDP

Data Quality

Application

Data


Data Warehouse

Information Steward


Monitoring

Extract Cleanse

De-duplicate

BI



Common Use Cases


Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP























break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)



Data Warehouse


Non-SAP

SAP

New SAP

Data Migration

Common Use Cases


ETL TDP

Data Quality

Application

Data


Data Warehouse

Information Steward


Monitoring

Extract Cleanse

De-duplicate

BI



Common Use Cases


Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP























break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)




Common Use Cases


Procurement

ERP

Factories

Distribution

Master Data

Store

Logistics

ERP























break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)






















break the code

--Neil Stephenson













Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)














Information Steward







ETL Developer

Data Profiling

Content Type

Discovery

Validation Rules

Cleansing Rules

Match Rules

View Before

After Results

Fine Tune With

What-If Analysis

Publish Rules

Data Steward








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)








SAP Data Services






Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)







Data

Pro

filin

g


Data

Services

Engine

Text Data

Processing

Data

Validation

Data

Cleansing

Enrichment

Files XML

HTML

Mainframe

Excel text etc

Sybase HANA

Oracle SQL

DB2 HADOOP

PeopleSoft

Oracle Apps

Siebel SFDC etc

SAP CRM

SAP ERP

SAP NetWeaver

SAP BusinessOne

SuccessFactors

Query

Reporting

Analysis

and Dashboards

Data Migration

Synchronization

Real-Time hellip

HANA BW Sybase



HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)




HANA

ndash Tables

ndash views

Oracle

DB2

Sybase ASE

Sybase IQ

SQL Server

Informix

MySQL

Teradata

ODBC

Netezza

Text delimited

Text fixed width

EBCDIC

XML

Cobol

Excel

HTTP

JMS

Web Services

HADOOP


ADABAS

ISAM

VSAM

Enscribe

IMSDB

RMS










SAP Bus Suite

ndash Extractors

ndash ABAP

ndash BAPI

ndash Idoc

SAP NW BW

SuccessFactors

Oracle applications

Applications



3D126pvnr3D0120031469090000394326pt3Dg257Cd


NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)



NOUN_GROUP

FACILITYPATH











VEHICLELAND

VEHICLEVIN


CURRENCY

PERSON

SENTIMENT


DATE

MAJOR PROBLEM

REQUEST

URLEMAIL


TIME

DAY

PHONE




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)




Sun lsquon Ski

32 rue Gustve Eifei

Ris Orangis

Aumlle-de-France

91001

FR

Sun amp Ski



91000 France

+33-01-20-98-16-43

ERP

Sun and Ski


RIS-ORANGIS

Icircle-de-France

91000 France

0120981643

SQL

Server

Sunn amp Ski


Icircle-de-France

91000 France

33 01 20 98 16 43

CRM

87

match Sun amp Ski



91000

France

Sun amp Ski



91000 France

+33-01-20-98-16-43

Sun amp Ski



91000 France

+33-01-20-98-16-43

Original data


Validated data

Consolidated result

creates single view



Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)




Cleansing Rules

Challenges



matching rates


Benefits




match results




information

Input Data

Glove ultra grip


synthetic leather

elastic with Velcro

Mechanix Wear

Parsed Output

Product

Category

Glove

Size Large





Color Black


Standard

Description


Leather Black size

Large Cuff Style


Grip Mechanix Wear

Parsed

discrete fields

Standardized

information



SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)




SAP Data Mission












Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)





Any data source




Real-Time

Real Real-Time

SLT system

Many DBs supported



Sybase Replication

Server


at Database


Data

Convers

ion C

apabili

ties

Real T

ime C

apabili

ties







target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)








target database

Source Target




to HANA Views










Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)




Files

Web amp Others

Hadoop Databases

SAP HANA

SAP Sybase IQ

other Systems

Data

Services Data

Services


and targets













data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)








data replication




and SAP SLT

With thehellip








Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)




Source

DB

SAP Sybase


SAP Sybase ASE

Oracle

MS SQL

IBM DB2UDB


monitoring

Connector










bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)






bull SAP HANA


21M Customers







bull SAP HANA




21600x Faster year

End Reporting


overhead costs







More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)




More countries

Deeper coverage

Automate setup

tasks

Eliminate

duplicates


transformations via

Views

Cloud social

media and

morehellip

PowerDesigner and

Replication Server

integrations

$$$ lost from

bad data

Advise on fixing

data problems

Extract

business content
















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)

















bull SAP ERP

bull SAP APO












ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)







ERP implementation





implementation






implementation










strategies


















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)



















time business









Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)


Thanks

Ina Felsheim SAP

InaFelsheimsapcom

Twitter InaSAP



Resources
















too







d












Journey (May 2011)



Resources
















too







d












Journey (May 2011)


Delivering Effective Data Quality and Stewardship - SAPfm.sap.com/data/UPLOAD/files/Delivering...

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Transcript of Delivering Effective Data Quality and Stewardship - SAPfm.sap.com/data/UPLOAD/files/Delivering...