plm 2 erp 2 scm 2012 applications … · in erp/plm and any other system of product record alec...
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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
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
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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.”
© 2011 Oracle Corporation – Proprietary and Confidential
Product Data Dementia (Demenz)
PLMERP
Hubs
CRMPIM
CatalogWeb
© 2011 Oracle Corporation – Proprietary and Confidential
“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outdated or ambiguous items?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?
© 2011 Oracle Corporation – Proprietary and Confidential
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Outdated Part Status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
© 2011 Oracle Corporation – Proprietary and Confidential
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
© 2011 Oracle Corporation – Proprietary and Confidential
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
© 2011 Oracle Corporation – Proprietary and Confidential
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
© 2011 Oracle Corporation – Proprietary and Confidential
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
© 2011 Oracle Corporation – Proprietary and Confidential
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
© 2011 Oracle Corporation – Proprietary and Confidential
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.
© 2011 Oracle Corporation – Proprietary and Confidential
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
© 2011 Oracle Corporation – Proprietary and Confidential
PDQ Delivers Context Based Recognition
© 2011 Oracle Corporation – Proprietary and Confidential
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
PDQ Delivers Context Based Recognition
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?
© 2011 Oracle Corporation – Proprietary and Confidential
Category-specific Semantic Model
PDQ Delivers Context Based Recognition
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
© 2011 Oracle Corporation – Proprietary and Confidential
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
© 2011 Oracle Corporation – Proprietary and Confidential
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
© 2011 Oracle Corporation – Proprietary and Confidential
Start ItemCreationProcess
Click OK to create
item
© 2011 Oracle Corporation – Proprietary and Confidential
Item description enriched and
standardized in real-time
Items attributes recognized,
extracted and standardized in
real-time
© 2011 Oracle Corporation – Proprietary and Confidential
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
© 2011 Oracle Corporation – Proprietary and Confidential
Oracle Product Data Quality – Customers
Manufacturing & Distribution Healthcare Retail
MC Healthcare/ Nihon Hospital
© 2011 Oracle Corporation – Proprietary and Confidential
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