Deep

ak

Gu

pta

( MD

M S

trate

gist)

PIM CASE STUDY- RETAIL -By Deepak Gupta

PIM Advisor and Strategist

Problem with Product Data and Processes.

Enterprise Product Data Sheet

Immediate Benefits

Overall ROI.

Proposed: Long Term Business Strategy.

Implementation Strategy.

Resource and Skill.

Deep

ak

Gu

pta

( MD

M S

trate

gist)

CONTENTS

PROBLEM WITH

EXISTING PRODUCT

DATA

WHY TO IMPLEMENT

PIM?

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Deep

ak

Gu

pta

( MD

M S

trate

gist)

System 1

System 2

Team A

Team B

Custome

r file

Supplier

file

Partner

file

System 3

App 1

App 2

…

Vendor

File

...

... Multiple Interfaces Multiple Interfaces

• Scattered Data, Multiple Interfaces

• Multiple Teams, Multiple Systems

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Inte

rnal &

Exte

rna

l S

ou

rce

Syste

ms

Customers

Partners

Suppliers

Email Files

Legacy

Lead time high for New Item Induction

Phone Call

Validate,

Match and

Create Item

in required

System

System 1

System 2

Important Data exist in Local

Desktop/Laptop

App 1

App 2

App 3

App 4

No Automation- All Manual Process

( High Lead Time and Error Prone)

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Major Examples

• Duplicate/Triplicate Master Items.

• Invalid/Special Characters in Item Description and other

attributes.

• Mandatory Attributes like dimension , size , category missing for

significant number of items.

• No Standard item classification tax-anomy in place.

• Significant number of Orphan Items ( Item exist in Child Org

without master).

• GTIN Missing for Significant number of Items.

• No Standardized Unit of Measure of items defined.

Very Poor Data Quality

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Major Examples

• Mass update of attributes (dimensions, purchasing status, etc.)

require IT Support

• Mass Copy of Item Codes for New Warehouse Induction and

Movement require IT Support.

• Any New attribute addition require IT Support.

• New Customer/Supplier Onboarding require IT.

• Every Business process is hard coded example, approval

workflows, Business validation. Hence any change would require

IT support.

Too Much IT Dependency

PRODUCT DATA

SHEET

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Deep

ak

Gu

pta

( MD

M S

trate

gist)

S.N

O

Entity Count

1 Number of Warehouses 100 +

2 Volume of Master Items 500 K +

3 Volume of Org Items 2 million +

4 Number of Attributes 200 +

5 Volume of Attribute Values 10 million +

6 Number of Users 300+

7 Number of Product Data Sources 20 +

8 Number of Transaction Systems 10 +

9 Number of Item Created/Week 5000 +

IMMEDIATE BENEFITS

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Single Blended Record

Standardize/Consolidate/Match Review and Load

Standard Data

Non-Standard Data

Inte

rnal &

Exte

rna

l S

ou

rce

Syste

ms

Customers

Partners

Suppliers

MDM Team

Email Files Manual (Review & Workflow)

Automatic (Rules-Based)

- or -

Sta

gin

g A

rea

Legacy ETL

Spread- sheet

upload

FTP Files

PIM Blend/Match

Engine

Standardization

Engine

Interfaces

• Reduced Manual Steps- Automate most of Processes for Item

maintenance.

• Implement Data Governance to improve data quality

• Lead time reduced for new item creation.

• Oracle PIM is highly scalable.

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Oracle

PIM

System A

System B

Custome

r file

Supplier

file

Partner

file

Vendor

File

...

I

N

B

O

U

N

D

I

N

T

E

R

F

A

C

E

One Item

Team

O

U

T

B

O

U

N

D

I

N

T

E

F

A

C

E

Common Interface Common Interface

Item Team Oracle

EBS

• Single Source of Data

• Common Interfaces

• Single Team

• Single System

STANDARD, CLEAN AND VALID DATA D

eep

ak

Gu

pta

( MD

M S

trate

gist)

PIM

After : Standardized and Clean Data

Standardize item description

Extract and standardize attributes

Classify in Item Master Catalog

Apply industry and company standards

Validate values

Check for Completeness( Mandatory)

1

2

3

4

5

Description

Item Class Brand Speed

Catalog Category Revenue Code Commodity Code

1

2

3

2

4

Processor Intel Pentium 2.80 GHz

Manufactured Box Revenue 847170

Processor: Intel Pentium G840 (2.80GHz, 3 MB)

Procesador: Intel Pentium G840 (2.80GHz, 3 MB)

Description

Item Class Brand Speed

Catalog Category Revenue Code Commodity Code

AMD Athlon™ B 26

Manufactured Box Revenue 847171

Before : Non-Standard Product Data

PROCINTELPENTIUM2.8GHZ3MB

AMD ATHLONB26DUALCORE

Customer 1

Customer 2

Процессор : Intel Pentium G840 (2,80ГГц, 3Мбайт)

AMD Athlon(TM) II X************2 Dual-Core processor B26

AMD Athlon™ II X2 ﾃﾞｭｱﾙｺｱ ﾌﾟﾛｾｯｻｰ B26

AMD 애슬론™ II X2 듀얼 코어 프로세서 B26

6

5 6

Deep

ak

Gu

pta

( MD

M S

trate

gist)

IMPROVED TAXONOMY AND CLASSIFICATION

OF PRODUCTS

• User-defined category hierarchy

• User-defined attributes for each category

• Attribute inheritance for easy maintenance

Category

Grocery

UPC# ____

Manufacturer ____

Buyer # ____

Attribute N ____

Category

Tobacco

UPC # ____

Manufacturer ____

Buyer ____

Attribute N ____

Smokeless Type ____

Category

Dry

UPC # ____

Manufacturer ___

Buyer # ____

Attribute N ____

Category Attributes

Category

Inherited Attributes

H i e r a r c h y

Unique

Attributes

CEN Master Catalog Classify Products & Components in Primary Item Master Catalog

Deep

ak

Gu

pta

( MD

M S

trate

gist)

COMPLETE VIEW OF PRODUCT INFORMATION

GTIN Information

Classification

Physical Dimension

UPC & PLU

Warehouse

Specific

Attributes

Audit

History

Change

Requests/

Change Orders

REDUCTION IN LEAD TIME FOR NEW

WAREHOUSE INDUCTION

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Copy Items from one warehouse to another using Excel Sheet reduces lead

time for building new warehouse.

LONG TERM

STRATEGY

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Deep

ak

Gu

pta

( MD

M S

trate

gist) Govern

Customers

Suppliers

Partners

Mergers

Legacy

External Source

Consolidate

Cleanse

Parse Enrich

Match & De-Duplicate

Role Based

Security

Admin

Events & Policies

Change Management

Use

Sales

Publish & Subscribe

(SOA/ESB)

Finance

Finance Users

Data Ware House

Order Management

Procurement

Marketing

SCM Users

SNP Users

Purchasing

Ecommerce Online

Sales

Support

Master

Data

Hub

Marketing

It

em

Po

rta

l

RETURN OF

INVESTMENT (ROI)

Deep

ak

Gu

pta

( MD

M S

trate

gist)

Deep

ak

Gu

pta

( MD

M S

trate

gist)

• Product Data

Maintenance in 3

systems.

• Order Fails because of

Data Quality Issues.

• Manual Process of Item

Creation.

• Existing System are not

scalable

• Multiple Interfaces

running on old technology

and platform.

• Product Data

Maintenance in Single

System.

• Reduction in Data Quality

Issues.

• Automated Process of

Item Creation.

• PIM is scalable to hold 1

trillion items.

• Common Interface on

latest Service Oriented

Platform.

Before PIM After PIM

ROI- IN TERMS OF SIMPLICITY/MAINTENANCE

Deep

ak

Gu

pta

( MD

M S

trate

gist)

• No Security and

Governance on Item Data.

• No mass update using

MS- Excel facility. IT is

involved for any mass

update.

• No Mass Copy Code

Process.

• Item creation process

require lot of manual

work.

• Manual work to support

customer item requests.

• Role Based Security and

Policy on Item Data.

• Mass update using MS-

Excel facility. No IT

involvement.

• MS- Excel Mass Copy Code

Process.

• Zero touch item creation

process using excel upload..

• Automatic processing of

customer item requests.

Before PIM After PIM

ROI- IN TERMS OF EASE OF PROCESS