PLM 2 ERP 2 SCM 2012 Applications … · In ERP/PLM And Any Other System Of Product Record Alec...

<Insert Picture Here>

Product Data QualitySuccessfully Manage And Cleanse Product Master Data

In ERP/PLM And Any Other System Of Product Record

Alec Towlson, Business Development Leader

Western Europe

CRM

SCM

ERP 2PLM 2

ERP 1

PLM 1

Trusted Product

Data

Trusted Product

Data

PDQ 2012 Applications

http://www.doag.org/

The following is intended to outline our general

product direction. It is intended for information

purposes only, and may not be incorporated into

any contract. It is not a commitment to deliver any

material, code, or functionality, and should not be

relied upon in making purchasing decisions. The

development, release, and timing of any features

or functionality described for Oracle‟s products

remains at the sole discretion of Oracle.

Safe Harbor Statement

<Insert Picture Here>

Agenda

• Business Drivers: Data Quality Requirements

• The Problem: Poor Quality Data Breaks the Product Value Chain

• Solution: Automated Product Data Quality

• Customer Use Cases: Manufacturing, Hi-Tech, Medical Device/Healthcare

• Solution Summary

What Is The Value Of High Quality Product Data For

PLM, ERP And Other Supply Chain Initiatives?

Value of having high quality product data?

© 2011 Oracle Corporation – Proprietary and Confidential

Enterprise Process Integration Initiatives

From Disconnected Entities… To Integrated Product Value Chains

“Technology initiatives...placed new requirements on previously isolated data to be suitable for a

broader purpose.” Source: ARC Advisory Group July 2008

“This bringing together of disparate manufacturing systems highlighted many fundamental

data quality issues.”


Product Data Dementia (Demenz)

PLMERP

Hubs

CRMPIM

CatalogWeb


“information captured by an organization is no longer accessible or retrievable, or lacks trust when compared across functions and

departments”Source: Petris Canada, Ltd 2008

Business & IT Dementia Symptoms

Why do I have so many duplicate items? Most are

incorrect

Why do my applications refer to

outdated or ambiguous items?

Why can't I see thereports I need?

What are all these project delays?


Inaccurate Part Descriptions

Outdated Part Status

Excessive Quality Checking

Po

or

Item

Sea

rch

Incompatible Product Hierarchies

Company Name Variations

Ha

rd T

o F

ind

A

lte

rnati

ve

Part

s

Different Products -Same Attribute Abbreviations

Project Delays

High Inventory CostsDifferent Parts –

Same item numbers

More Symptoms…

Sam

e P

art

–D

iffe

ren

t P

art

Nu

mb

ers

Do

wn

tim

e

Wrong Classification


Inaccurate Part Descriptions

Outdated Part Status

Excessive Quality Checking

Po

or

Item

Sea

rch

Incompatible Product Hierarchies

Company Name Variations

Ha

rd T

o F

ind

A

lte

rnati

ve

Part

s

Different Products – SameAttribute Abbreviations

Project Delays

High Inventory CostsDifferent Parts–

Same item numbers

More Symptoms…

Wrong Classification

• 80% companies are not confident in the quality of

their product data„PIM Business & Technology

Trends - Survey‟, Sept 2007

„SAP-Anwender vertrauen der Qualität der eigenen

Daten nicht!“ Source: http://www.e3cms.de/index.php?id=3223


Product Data Dementia Symptoms

Product IDManufa-

cturerDescription Product Type Power Voltage Mount

ABC123 AA Inc. 10hp motor 115V Yoke mount Motor, AC/DC 10hp 115V Yoke

abc-123 A.A. mtr, ac(115) 10 horsepower 115volts AC/DC Motor 10 115 AC.

ABC/123/Q AA/Craft 10 Caballos, Motor, 115 Voltios Mot-AC 10 H-pow 115

QA-ST5 Craft TEAO HP = 10.0 1725RPM 115V 48YZ YOKE MTR 26101604

Z99 Z99 MOT-10,115V,48YZ,YOKE Z99

Motor powered pulley, 3/4" Motor

Inconsistent names &

Formats

Rich information, but mostly non-

standard and unpredictable

Attributes non-standard,

missing or invalid

Inconsistent classifications &

misclassifications

Widespread

duplication

(often hard

to spot)

„Junk data‟ added to satisfy

system required field entry

validation


Traditional Approaches Struggle to Address

The Root Problem

;3.5 MM 20 MM

* ^ | G = "MM" | ^ | G = "MM" | [{FM}="CATHETER" ] |

[{T1}="BALLOON"]| [{BR}!="OPTIPLAST"]

COPY [1] temp1

COPY_A [2] {Q1}

COPY "X" {C1}

COPY [3] temp2

COPY_A [4] {Q2}

RETYPE [1] 0

RETYPE [2] 0

RETYPE [3] 0

RETYPE [4] 0

CALL Ballon_Measurements

Custom Code

Too long to build

Too many exceptions

Incomplete/ambiguous

answers

Manual effort

Too expensive

Too slow

Not-scalable


Traditional Approaches Struggle to Address

The Root Problem

;3.5 MM 20 MM

* ^ | G = "MM" | ^ | G = "MM" | [{FM}="CATHETER" ] |

[{T1}="BALLOON"]| [{BR}!="OPTIPLAST"]

COPY [1] temp1

COPY_A [2] {Q1}

COPY "X" {C1}

COPY [3] temp2

COPY_A [4] {Q2}

RETYPE [1] 0

RETYPE [2] 0

RETYPE [3] 0

RETYPE [4] 0

CALL Ballon_Measurements

Custom Code

Too long to build

Too many exceptions

Incomplete/ambiguous

answers

Manual effort

Too expensive

Too slow

Not-scalable

“70% of the organizations surveyed admit to making short-sighted IT decisions to meet their users‟ immediate needs.”

– IT Spending and Demand Survey

• 66% companies use “manual effort” or “custom code”

– 75% say it is too unreliable

– 64% say it is too slow

– 56% say it is too expensive

– >50% say „all of the above‟„PIM Business & Technology

Trends - Survey‟, Sept 2007


Is A Customer Data Quality Solution The Answer To

The Problem?

Over 30,000 categories

• No fixed syntax –few standards

• Infinite variability –format, content, syntax

• Different rules for each product category

• Extract

• Standardize

• Match/merge

• Validate

• Enrich

• Metrics

X

Too complex for Customer Data Quality Solutions


Customers who tried to solve their problem with

pattern based technology...and switched to PDQ

Amerinet

• Bought IBM Quality Stage for standardization and classification.

• Put 4+ years into implementation.

• PDQ selected after evaluation.

Broadlane Healthcare• Bought Dataflux for standardization and classification and matching.

• Put 4+ years into implementation.

• PDQ selected to replace legacy DQ solution after 5 week Proof of Concept

Ascension Health• Bought IBM‟s Quality Stage.

• After 5 years hit a wall with Product Data complexity

• PDQ selected after evaluation against all available vendors in the market place

Cardinal Health• Large IBM shop. Conducted extensive Data Quality Evaluation.

• IBM expected to win since they were to provide software for free.

• PDQ selected as preferred solution.


The Solution: Oracle Product Data Quality (PDQ)

Extracts, cleans, and re-publishes your product data

Extract Repurpose/Publish

Catalog

ERP

SAP

PLM

Other

UsersPLM

ERP

SAP

E-commerce

BI

Extract: Oracle PDQ can extract data from many different data sources.

e.g. Text files, Microsoft Excel tables, Web services, XML and data bases. PDQ can even access implemented database functions/procedures.

Repurpose/Publish: Oracle PDQ can store the worked on data into different consuming systems at the same time and in different formats.

e.g. in the XML, Excel or title format. The data can also be dispatched automatically to an ftp server.

Users

Data Stewards

Exception Resolution


PDQ Delivers Context Based Recognition


Learning the meaning of something by its context not by the structure of the field

Without contextual understanding – we can‟t understand what something actually means!!

√√

Category-specific Semantic Model


GLOVES SURGICAL

STERILE LATEX-FREE

SIZE 8

CH GLOVES SURGICAL

STERILE LATEX-FREE

CART SIZE 8 PC PF

New rules/ learning

Vocabulary variations

Universal „concepts‟

Standard forms

Match criteria

FUNCTION

Exam

Surgical

Utility

…

MATERIAL

Latex

Vinyl

Nitrile

…

STERILITY

Sterile

Non-Sterile

MANUFACTURER

Cardinal Health

Ansell Limited

Biomex Medical

Branford Medical

Broner Glove

Burrows

…

UNIT OF

MEASURE

Box

Carton

SIZE

Integer - range 5-12COATING

Poly Coated

Gammex

Hydro

…

POWDER

Powdered

Powder-free

Medical Gloves

Semantic Recognition

Underlying Context Based

Model

1. Recognizes non-standard data

2. Extracts and standardizes important information

3. Learns from real data during operation

COATING

UNIT OF MEASURE

FUNCTION SURGICAL

SIZE 8

POWDER CONTENT

STERILITY STERILE

MATERIAL LATEX-FREE

COATING

MANUFACTURER

UNIT OF MEASURE

FUNCTION

SIZE

POWDER CONTENT

STERILITY

MATERIAL

COATING

COATING CH = CARDINAL HEALTH?

UNIT OF MEASURE CART = CARTON?

FUNCTION SURGICAL

SIZE 8

POWDER CONTENT PF = POWDER FREE?

STERILITY STERILE

MATERIAL LATEX-FREE

COATING PC = POLY COATED?


Category-specific Semantic Model


GLOVES SURGICAL

STERILE LATEX-FREE

SIZE 8

CH GLOVES SURGICAL

STERILE LATEX-FREE

CART SIZE 8 PC PF

New rules/ learning

Vocabulary variations

Universal „concepts‟

Standard forms

Match criteria

FUNCTION

Exam

Surgical

Utility

…

MATERIAL

Latex

Vinyl

Nitrile

…

STERILITY

Sterile

Non-Sterile

MANUFACTURER

Cardinal Health

Ansell Limited

Biomex Medical

Branford Medical

Broner Glove

Burrows

…

UNIT OF

MEASURE

Box

Carton

SIZE

Integer - range 5-12COATING

Poly Coated

Gammex

Hydro

…

POWDER

Powdered

Powder-free

Medical Gloves

Semantic Recognition

Underlying Context Based

Model

1. Recognizes non-standard data

2. Extracts and standardizes important information

3. Learns from real data during operation

COATING

UNIT OF MEASURE

FUNCTION SURGICAL

SIZE 8

POWDER CONTENT

STERILITY STERILE

MATERIAL LATEX-FREE

COATING

MANUFACTURER

UNIT OF MEASURE

FUNCTION

SIZE

POWDER CONTENT

STERILITY

MATERIAL

COATING

COATING CH = CARDINAL HEALTH?

UNIT OF MEASURE CART = CARTON?

FUNCTION SURGICAL

SIZE 8

POWDER CONTENT PF = POWDER FREE?

STERILITY STERILE

MATERIAL LATEX-FREE

COATING PC = POLY COATED?

Quality Governance – Data Steward Dashboard

Standardize• Std. Classification(s)

• Std. Attributes

• Std. Descriptions

• Translate (inbound)

Match• De-duplicate

• Merge

Repurpose• Translate (outbound)

• (Re-)classify

• (Re-)standardize

• (Re-)format

Exception Management – Validation & Remediation

Enrich• Classify

• Extract/append info

Semantic Recognition – Contextual understanding & learning


CRM

EBS

SAP

GDSN

Other

Users

CRM

EBS

SAP

Custom Apps

BI

Process Integration Oracle PDQ Integration with PLM, ERP,SAP and/or any other system of

product record

TrustedData

Sh

are

Co

nso

lid

ate

Govern

Cleanse

Offers scope for integration with

all your product applications


Example Customers who have implemented PDQ

with:

PLM/PDM• Emerson

• Amazon Lab 126

• Dedini

ERP• RH Technologies

• Alpha Purchase

• Ascension Health

Product MDM• Premier Healthcare

• Navistar

• Cummins

• Cardinal Health

• GE Healthcare


http://www.lab126.com/index.htm

EMBEDDED

PRODUCT DATA QUALITY

WHAT DOES INTEGRATION WITH

ORACLE PDQ LOOK LIKE?

Call PDQServer


Results Returned



Call SAP Import


Clean Data Imported


Start ItemCreationProcess


Start ItemCreationProcess

Click OK to create

item


Enter Item and Description


Call PDQServer


Review ResultsAnd Accept


Item description enriched and

standardized in real-time

Items attributes recognized,

extracted and standardized in

real-time


Works with any PLM, ERP, Product MDM system

as a pre-validated batch or real time item creation process

Is mostly about proactive data qualitygetting your data clean is the start, keeping it clean is the

real Oracle PDQ benefit

Handles the product data complexities that manual, custom-coding, or pattern based tools struggle

to overcome

Oracle Product Data QualityDesigned Uniquely For Handling Product Data Quality

Requirements


Questions & Answers

Oracle Product Data Quality – Customers

Manufacturing & Distribution Healthcare Retail

MC Healthcare/ Nihon Hospital


http://www.thermofisher.com/global/en/home.asp

http://www.marketamerica.com/corporate/index.cfm

http://www.specsavers.co.uk/

http://www.colruyt.be/colruyt/static/1024/nl.shtml




Date post:	22-Dec-2018
Category:	Documents
Upload:	truongthien
View:	215 times
Download:	0 times

PLM 2 ERP 2 SCM 2012 Applications … · In ERP/PLM And Any Other System Of Product Record Alec...

Documents