Typical Data Integration Scenario

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1 1 Typical Data Integration Scenario Enterprise D ata R epository (C ollection ofC ustom ers, V endors, Em ployees, Products… ) Phase 2 R ider’s Edge ~ 90,000 records R entals ~ 300,000 H -D O nline ~ 800,000 U sed B ikes ~ 18,000 H O G /B R AG ~ 1 m il CSCS M illions of records SW R M illions of records HDDS Talon T2 D CI-M ~ 3.5 m ilrecords HDDS Talon ES 5a – O nline Profile 5b – O nline Lead G eneration 5c – Vehicle O w nership 2a - RentalEvent 4a – U sed B ikes Lead 7a – Consum ers 7b – Vehicle purchase 6a – Consum ers 6b – V ehicle purchase 3 rd Party 8a - Suppressions 1a - Print Lead G eneration 1b – Phone Lead G eneration 1c - H D M C H osted B uellD em o R ide 1d - HD M C H osted H D D em o R ide 1e - D ealer H osted B uellD em o R ide 1 f - D ealer H osted H D D em o R ide 1g - B uellProm otions 1h - IM S Show s 1i- NHRA: M obile R eg. W aiver 1 j - NH R A : M obile Photo (future) 1k - N H R A : Fan C lubs (future) 1l- N H R A : Sw eep Stakes 1m - NH R A : H ospitality (future) 1n – Q PR 1p - R ide Plan M aintenance (R PM ) 1q - Enterprise C hange (M anual) 1 s - S portster (C onversion O nly) 1 t - Phone Catalog Request 1u - D irect M ailH and R aiser 1v - Enthusiast H and R aiser 1w - S hoptalk Enthusiast 1x - Factory Tours 3a – R egistration 3b - Enrollm ent 3c - C om pletion 3d – Consum er __Update 3e -Evaluation H D FS ~ 870,000 loans ~ 190,000 ins 3 rd Party (N CO A & D ata Enrichm ent IS ky D ealer W ebsite (PS N ) H -D InternalSources ExternalSources ~9 or10 m il records betw een 2 system s

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Typical Data Integration Scenario. CRM Integration Architecture with an issue (?). CONNECT Solution Architectural Overview. Harley-Davidson consumer related business transactions for CLOSER Phase I . - PowerPoint PPT Presentation

Transcript of Typical Data Integration Scenario

1 1

Typical Data Integration Scenario

Enterprise Data Repository (Collection of Customers, Vendors, Employees, Products…)

Phase 2

Rider’s Edge~90,000 records

Rentals~300,000

H-D Online~800,000

Used Bikes~18,000

HOG/BRAG~1 mil

CSCSMillions of

records

SWRMillions of

records

HDDSTalon T2

DCI -M~3.5 mil records

HDDSTalon ES

5a

– O

nlin

e P

rofile

5b

– O

nlin

e L

ead

Genera

tion

5c –

Vehic

le

Ow

ners

hip

2a -

Renta

l Event

4a

– U

sed B

ikes

Lead

7a

– C

onsu

mers

7b

– V

ehic

le

purc

hase

6a

– C

onsu

mers

6b

– V

ehic

le

purc

hase

3rd Party

8a -

Suppre

ssio

ns

1a -

Pri

nt

Lead G

enera

tion

1b

– P

hone L

ead G

enera

tion

1c -

HD

MC

Host

ed B

uell

Dem

o R

ide

1d

- H

DM

C H

ost

ed H

D D

em

o R

ide

1e -

D

eale

r H

ost

ed B

uell

Dem

o R

ide

1f

- D

eale

r H

ost

ed H

D D

em

o R

ide

1g

- B

uell

Pro

moti

ons

1h

- I

MS

Show

s

1i -

NH

RA

: M

obile

Reg.

Waiv

er

1j

- N

HR

A:

Mobile

Photo

(fu

ture

)

1k -

NH

RA

: Fa

n C

lubs

(futu

re)

1l -

NH

RA

: S

weep S

takes

1m

- N

HR

A:

Hosp

italit

y (

futu

re)

1n

– Q

PR

1p

- R

ide P

lan M

ain

tenance

(R

PM

)

1q

- E

nte

rpri

se C

hange (

Manual)

1s -

Sport

ster

(Convers

ion O

nly

)

1t

- Phone C

ata

log R

equest

1u

- D

irect

Mail

Hand R

ais

er

1v -

Enth

usi

ast

Hand R

ais

er

1w

- S

hopta

lk E

nth

usi

ast

1x -

Fact

ory

Tours

3a –

Regis

trati

on

3b -

Enro

llment

3c -

Com

ple

tion

3d –

Consu

mer

__

Update

3e

-Evalu

ati

on

HDFS~870,000 loans~190,000 ins

3rd Party(NCOA & Data

Enrichment

ISky

Dealer Website(PSN)

H-D Internal Sources

External Sources

~9 or 10 mil records between 2 systems

2 2

CRM Integration Architecture with an issue (?)

SAP XI

SAP CRM Application

Phase 2

Master Data

Business Partner/ Consumer

Transactional Data

Rider’s Edge~90,000 records

Rentals~300,000

H-D Online~800,000

Used Bikes~18,000

HOG/BRAG~1 mil

CSCSMillions of

records

SWRMillions of

records

HDDSTalon T2

DCI -M~3.5 mil records

HDDSTalon ES

5a

– O

nlin

e P

rofile

5b

– O

nlin

e L

ead

Genera

tion

5c –

Vehic

le

Ow

ners

hip

Activity/ Interaction Lead Opportunity

2a -

Renta

l Event

4a

– U

sed B

ikes

Lead

7a

– C

onsu

mers

7b

– V

ehic

le

purc

hase

6a

– C

onsu

mers

6b

– V

ehic

le

purc

hase

3rd Party

8a -

Suppre

ssio

ns

Installed Base/Product Ownership

1a -

Pri

nt

Lead G

enera

tion

1b

– P

hone L

ead G

enera

tion

1c -

HD

MC

Host

ed B

uell

Dem

o R

ide

1d

- H

DM

C H

ost

ed H

D D

em

o R

ide

1e -

D

eale

r H

ost

ed B

uell

Dem

o R

ide

1f

- D

eale

r H

ost

ed H

D D

em

o R

ide

1g

- B

uell

Pro

moti

ons

1h

- I

MS

Show

s

1i -

NH

RA

: M

obile

Reg.

Waiv

er

1j

- N

HR

A:

Mobile

Photo

(fu

ture

)

1k -

NH

RA

: Fa

n C

lubs

(futu

re)

1l -

NH

RA

: S

weep S

takes

1m

- N

HR

A:

Hosp

italit

y (

futu

re)

1n

– Q

PR

1p

- R

ide P

lan M

ain

tenance

(R

PM

)

1q

- E

nte

rpri

se C

hange (

Manual)

1s -

Sport

ster

(Convers

ion O

nly

)

1t

- Phone C

ata

log R

equest

1u

- D

irect

Mail

Hand R

ais

er

1v -

Enth

usi

ast

Hand R

ais

er

1w

- S

hopta

lk E

nth

usi

ast

1x -

Fact

ory

Tours

3a –

Regis

trati

on

3b -

Enro

llment

3c -

Com

ple

tion

3d –

Consu

mer

__

Update

3e

-Evalu

ati

on

HDFS~870,000 loans~190,000 ins

3rd Party(NCOA & Data

Enrichment

ISky

Dealer Website(PSN)

AC

Genera

te

Lead

AD

Genera

te

Opport

unit

y

AE –

Cre

ate

/U

pdate

Ass

et

AB – Lead Only Information

AA - Interaction Information

H-D Internal Sources

External Sources

SAP Enterprise

Portal

SAP Business

Warehouse

~9 or 10 mil records between 2 systems

3 3

CONNECT Solution Architectural Overview

Harley-Davidson consumer related business transactions for CLOSER Phase I.

Transaction Flow: Customer >> SAP XI >> DS/QS CDI Middleware >> SAP XI >> SAP CRM Application

SAP XI

SAP CRM Application

Phase 2

Master Data

Business Partner/ Consumer

Transactional Data

Rider’s Edge~90,000 records

Rentals~300,000

H-D Online~800,000

Used Bikes~18,000

HOG/BRAG~1 mil

CSCSMillions of

records

SWRMillions of

records

HDDSTalon T2

DCI -M~3.5 mil records

HDDSTalon ES

5a

– O

nlin

e P

rofile

5b

– O

nlin

e L

ead

Genera

tion

5c –

Vehic

le

Ow

ners

hip

Activity/ Interaction Lead Opportunity

2a -

Renta

l Event

4a

– U

sed B

ikes

Lead

7a

– C

onsu

mers

7b

– V

ehic

le

purc

hase

6a

– C

onsu

mers

6b

– V

ehic

le

purc

hase

3rd Party

8a -

Suppre

ssio

ns

Installed Base/Product Ownership

1a -

Pri

nt

Lead G

enera

tion

1b

– P

hone L

ead G

enera

tion

1c -

HD

MC

Host

ed B

uell

Dem

o R

ide

1d

- H

DM

C H

ost

ed H

D D

em

o R

ide

1e -

D

eale

r H

ost

ed B

uell

Dem

o R

ide

1f

- D

eale

r H

ost

ed H

D D

em

o R

ide

1g

- B

uell

Pro

moti

ons

1h

- I

MS

Show

s

1i -

NH

RA

: M

obile

Reg.

Waiv

er

1j

- N

HR

A:

Mobile

Photo

(fu

ture

)

1k -

NH

RA

: Fa

n C

lubs

(futu

re)

1l -

NH

RA

: S

weep S

takes

1m

- N

HR

A:

Hosp

italit

y (

futu

re)

1n

– Q

PR

1p

- R

ide P

lan M

ain

tenance

(R

PM

)

1q

- E

nte

rpri

se C

hange (

Manual)

1s -

Sport

ster

(Convers

ion O

nly

)

1t

- Phone C

ata

log R

equest

1u

- D

irect

Mail

Hand R

ais

er

1v -

Enth

usi

ast

Hand R

ais

er

1w

- S

hopta

lk E

nth

usi

ast

1x -

Fact

ory

Tours

3a –

Regis

trati

on

3b -

Enro

llment

3c -

Com

ple

tion

3d –

Consu

mer

__

Update

3e

-Evalu

ati

on

HDFS~870,000 loans~190,000 ins

3rd Party(NCOA & Data

Enrichment

ISky

Dealer Website(PSN)

AC

Genera

te

Lead

AD

Genera

te

Opport

unit

y

AE –

Cre

ate

/U

pdate

Ass

et

AB – Lead Only Information

AA - Interaction Information

H-D Internal Sources

External Sources

DS/QS CDI Match/Merge, Data Quality SOA

Interface

Search Customer

SAP Enterprise

Portal

SAP Business

Warehouse

~9 or 10 mil records between 2 systems

Create Customer

4 4

DS/QS Match-Merge Solution Overview – Search Customer

SAP XI Receives customer information & consumes ds/qs customer search webservices

DataStage SOA Interface exposes DS/QS Customer Search WebServices

DataStage Job encapsulates, wraps and binds all stages of QualityStage Match Functionality

QualityStage Match Framework

Identify Country

HD Customer Search Mexican Customers

(follows similar framework as US address)

Mexico

Search Canadian Customers

(follows similar framework as US address but uses different

address validation

Canada

Search US Customers

US & Hawaii

Standardize

NameAddressPhone NumbersEmailDOB

CASS Address Validation

Validate & Certify US Addresses

Build Candidate List

Build Potential Search List from CRM Repository using Last Name & other attributes

Advanced Fuzzy Identity Matching(Identity Resolution? Anyone)

Perform Advanced/Fuzzy Identity Matching using the following combinations:

Business Partner NumberName & AddressName & EmailName & Daytime PhoneName & Work PhoneName & Mobile Phone

Return the best matches to SAP XI through Datastage SOA interface

5 5

DS/QS Match-Merge Solution Overview – Create Customer

SAP XI Receives customer information & consumes ds/qs customer create webservices

DataStage SOA Interface exposes DS/QS Customer WebServices

DataStage Job encapsulates, wraps and binds all stages of QualityStage Match/Merge Functionality

QualityStage Match/Merge Framework

Identify Country

HD Customer Search Mexican Customers

(follows similar framework as US address)

Mexico

Search Canadian Customers

(follows similar framework as US address but uses different

address validation

Canada

Search US Customers

US & Hawaii

Standardize

NameAddressPhone NumbersEmailDOB

CASS Address Validation

Validate & Certify US Addresses

Build Candidate List

Build Potential Search List from CRM Repository using Last Name & other attributes

Advanced Fuzzy Identity Matching

(Identity Resolution? Anyone)

Perform Advanced/Fuzzy Identity Matching using the following combinations:

Business Partner NumberName & AddressName & EmailName & Daytime PhoneName & Work PhoneName & Mobile Phone

Return A SURVIVED, best Customer record to SAP XI through Datastage SOA interface

Merge the matched records to survive the best Customer

(Build a best customer system of record by merging matched

records)

What full attribution? No Way!

Build one customer system of record by taking the most latest and valid information from all the matched records.