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Oracle Product Hub Cloud
Item Master Made Simple for ERP
Case Story
Executive Summary
9/29/20162
1. About Company and the Objectives
2. Business Challenges in Existing System
3. Current Architecture State
4. End State Architecture
5. Why Oracle Product Hub Cloud and Benefits Stand to Achieve
6. Implementation Best Practices
Large Pharmaceutical multinational corporation running their Business
with SAP and Oracle JDE E1 looking for Item Master Tool to achieve
below Objectives
9/29/20163
Simplify and Expedite Legacy site migration into JDE E1
Improve operational efficiency of New Item Request and Change management Process
Ability to track and govern Product Data
Role based access control enforcing data ownership
Business Challenges with Existing System
4
Operational Efficiency in New Item Request Process in JDE E1
Item Data Uploads from Legacy Sites to JDE E1
Quality and Compliance Governance
Future Rollout Flexibility
Disparate
Control
Mechanism and
Adhoc Processes
for Item
Management
• No clear defined
Accountability of
respective
Departments on
entering
required Item
information.
• No Governance
to ensure data
completeness
• Lacking
automated work
flow, rules
repository, and
cross-
referencing
Onboarding of
new site data
into JDE E1
• Manual
Transformation.
• Manual
Validations and
duplicate search
• Manual data
classification &
mapping
• Adhoc Error
Correction and
Upload Process
Managing
Quality and
Compliance
Related Product
Information
• Cannot enforce
Quality and
Compliance
department to
enrich respective
information
• Cannot track and
Audit changes
around it
• Cannot force data
standards across
products
Flexible and
Scalable
• Identify existing
versus new
master items
• Manage Regional
item/branch
Information like
UOM.
• Reduce iteration
of Validations
Errors
• Flexible to handle
future rollout
changes in data
loads.
BOM Management
IT
Change
Management of
BOM
• Ability to enforce
add/delete/
update through
workflow driven
approval process
Data integrity
failure due to
attribute, format
inconsistency
• Store 40
Character Long
Description
• Ensure invalid
characters
removed
1 Slower new product
onboarding into JDE
2 Errors in Sales, Order
and Procurement
because of
bad/incomplete data
3 As data grows, more
staff needed to
support manual
processes &
compliance
4 Poor quality item
Data impact reporting
5 Supplier Spend
analytics impacted
6 Limited ability to
cross-sell
NEGATIVE
IMPLICATIONS
9/29/20164
Current State of Master Data Management
5
JDE E1
9/29/2016
Manual/Non
Automated Item
Creation and
Change Mgmt.
Process
Legacy Site 1
Legacy Site 2
Legacy Site ..
Non Validated
Time Consuming
Process of Legacy
Data Onboarding
into JDE E1
Item Master Tool Selection Criteria
9/29/20166
S.NO. Item Management Requirements
1. New item creation workflow
2. Change Management workflow on Existing items
3. Reduce reliance on manual effort for Data Uploads
4. Item Audit History management
5. Roles based Accountability
6. Approval Based BOM management
7. Management of multiple unit of measures and
conversion logic
8. Maintain complete Item information obtained from
Legacy Systems
9. Data Quality Governance
10. Fasten future Rollouts of JDE E1 Scalability and
Flexibility for other geographies/plants
Need a Tool to fill
all these 10
Business
Requirement/Gaps
Oracle Product Hub Cloud – Near End State Solution
Consolidate, Cleanse, Enrich, Govern, Harmonize
Oracle Product Hub Cloud
Data Stewards
& Category
Managers
Item Maintenance Workflow
Product Managers
Quality Team
Compliance Team
Data Governance Data Validations
Monitor
Data Quality
Search
and
Access
Item Workflows
Items Data Monitoring
Conversion from Legacy Systems
Processes
DataPublish
DataImport
(Batch)
Integration to JDE E1- KPIT iLink
JDE E1
KPIT
iLink
Legacy Site 1
Legacy Site 2
Legacy Site ..
Simplify Legacy
Onboarding
New Item
Request Process
9/29/20167
End State Item Management Process Flow
9/29/20168
Oracle
Product Hub
Cloud
KPIT
iLink
Auto Sync
Manage Synchronize Execute
Manage Integration
Manage Integration
Why We Selected Oracle Product Hub Cloud?
9
Significant reliance on
manual effort for Data
Uploads
Item Audit History
management
New item creation /
Maintenance workflow
Roles based Accountability
and Quality Standard
Governance
Key Requirements
• Solution Completeness:
Define NIR and CM
workflows
Use pre-build data models
Use data steward
workbenches to convert
data
Use Audit Workbench
• iLink PDH to JDE E1 Adapter
to synchronize item,
attributes, item categories,
BOM and related information
from Hub to JDE E1
Oracle Product Hub Cloud
Solution Completeness
Quick Value
Significant reduction in manual,
repetitive tasks (in Quality ,
Compliance , others) required
for Product data maintenance
and approvals
Improved ability to quick
onboarding of new Plants
Resource time savings by not
manual validating/cleansing
data for future rollout load in
JDE E1
SaaS Solution - IT Cost Saving
in build and Maintaianance
9/29/2016
Before and After Oracle Product Hub Cloud
10
Without Product Hub With Product Hub
Manual Item approval processes Automated Workflow/Processes
Disparate Control Mechanism Role Based Accountability
Manual/Error prone clean
up/Validations during Data Load
System based profiling, cleanup and
transformation data uploads
Missing Item Changes Traceability Audit History/Reporting
No Data Quality Governance Auto Quality and compliance checks
Adhoc Data Load Process Repeatable Data Load Process
Suspect Quality of item data Trust in item Data
Manual/
No
Item
definition
Workflow
Data
Uploads is
not
governed
and
Complex
Approval
Process
don’t extend
across all the
departments
Quality and
Compliance
missing
Standards
governance
9/29/2016
Quantified and Strategic Benefits with Oracle Product Hub Cloud
11
Quantified Value Strategic Value
Drivers
Additional Value
• Better Product Taxonomy
• Non- IT ways of Metadata
Definition ( New Category and
Attribute Creation)
• Complete 360 degree View of
Product Data for JDE E1.
• Help with M&A strategy by
cutting cycle time for on-
boarding new companies item
data
• Support for future initiatives: BI,
Ecommerce require JDE Data
• Productivity gains (Cost
Savings) in ….
– Data Migration
– Data Uploads
– Faster Onboarding
– IT Customizations
– Application Life cycle
Management
Not Quantified
• Single portal
• Operating Efficiency
improvement
• Simplified Governance
Process
Benefits $$$$
9/29/2016
Best Practices- Key Areas of Implementation Focus
9/29/201612
 Synchronize
metadata and
processes between
Product Hub to JDE
 Involvement of right
Stakeholders
 Educate and Train
IT and end users on
Product Hub Cloud
functionality and
values
 Taxonomy for :
 Product
Categorization
 Attributes
 Metadata for Single
Source of Truth for
Product Data
 Global and Regional
Attributes
 Data Extraction
from Legacy
Sources
 Products are to be
loaded from
Legacy to Product
Hub
 The data should be
classified into
standard product
taxonomy and
Attributes
 Item onboarding
and Maintaianance
Workflows
 Item validation and
Business Rules.
 Audit History
 Reports on Product
Data Tracking
 Integration with
Product Hub Cloud
to JDE E1
 Synchronize item
and Attributes
 Flexible mapping
of attributes from
Product Hub Cloud
to JDE E1
Impact
Product Hub Cloud Implementation Best Practices
Complexity
Product Data
Governance
Cloud to On-Premise
Integrations
Mastering the
Product Metadata
Product Data
Quality and Import
1 2
Change and
Communication
Management
53 4
Thank You
9/29/201613

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Oracle Product Hub Cloud Streamlines Item Master for Global Pharma Company

  • 1. Oracle Product Hub Cloud Item Master Made Simple for ERP Case Story
  • 2. Executive Summary 9/29/20162 1. About Company and the Objectives 2. Business Challenges in Existing System 3. Current Architecture State 4. End State Architecture 5. Why Oracle Product Hub Cloud and Benefits Stand to Achieve 6. Implementation Best Practices
  • 3. Large Pharmaceutical multinational corporation running their Business with SAP and Oracle JDE E1 looking for Item Master Tool to achieve below Objectives 9/29/20163 Simplify and Expedite Legacy site migration into JDE E1 Improve operational efficiency of New Item Request and Change management Process Ability to track and govern Product Data Role based access control enforcing data ownership
  • 4. Business Challenges with Existing System 4 Operational Efficiency in New Item Request Process in JDE E1 Item Data Uploads from Legacy Sites to JDE E1 Quality and Compliance Governance Future Rollout Flexibility Disparate Control Mechanism and Adhoc Processes for Item Management • No clear defined Accountability of respective Departments on entering required Item information. • No Governance to ensure data completeness • Lacking automated work flow, rules repository, and cross- referencing Onboarding of new site data into JDE E1 • Manual Transformation. • Manual Validations and duplicate search • Manual data classification & mapping • Adhoc Error Correction and Upload Process Managing Quality and Compliance Related Product Information • Cannot enforce Quality and Compliance department to enrich respective information • Cannot track and Audit changes around it • Cannot force data standards across products Flexible and Scalable • Identify existing versus new master items • Manage Regional item/branch Information like UOM. • Reduce iteration of Validations Errors • Flexible to handle future rollout changes in data loads. BOM Management IT Change Management of BOM • Ability to enforce add/delete/ update through workflow driven approval process Data integrity failure due to attribute, format inconsistency • Store 40 Character Long Description • Ensure invalid characters removed 1 Slower new product onboarding into JDE 2 Errors in Sales, Order and Procurement because of bad/incomplete data 3 As data grows, more staff needed to support manual processes & compliance 4 Poor quality item Data impact reporting 5 Supplier Spend analytics impacted 6 Limited ability to cross-sell NEGATIVE IMPLICATIONS 9/29/20164
  • 5. Current State of Master Data Management 5 JDE E1 9/29/2016 Manual/Non Automated Item Creation and Change Mgmt. Process Legacy Site 1 Legacy Site 2 Legacy Site .. Non Validated Time Consuming Process of Legacy Data Onboarding into JDE E1
  • 6. Item Master Tool Selection Criteria 9/29/20166 S.NO. Item Management Requirements 1. New item creation workflow 2. Change Management workflow on Existing items 3. Reduce reliance on manual effort for Data Uploads 4. Item Audit History management 5. Roles based Accountability 6. Approval Based BOM management 7. Management of multiple unit of measures and conversion logic 8. Maintain complete Item information obtained from Legacy Systems 9. Data Quality Governance 10. Fasten future Rollouts of JDE E1 Scalability and Flexibility for other geographies/plants Need a Tool to fill all these 10 Business Requirement/Gaps
  • 7. Oracle Product Hub Cloud – Near End State Solution Consolidate, Cleanse, Enrich, Govern, Harmonize Oracle Product Hub Cloud Data Stewards & Category Managers Item Maintenance Workflow Product Managers Quality Team Compliance Team Data Governance Data Validations Monitor Data Quality Search and Access Item Workflows Items Data Monitoring Conversion from Legacy Systems Processes DataPublish DataImport (Batch) Integration to JDE E1- KPIT iLink JDE E1 KPIT iLink Legacy Site 1 Legacy Site 2 Legacy Site .. Simplify Legacy Onboarding New Item Request Process 9/29/20167
  • 8. End State Item Management Process Flow 9/29/20168 Oracle Product Hub Cloud KPIT iLink Auto Sync Manage Synchronize Execute Manage Integration Manage Integration
  • 9. Why We Selected Oracle Product Hub Cloud? 9 Significant reliance on manual effort for Data Uploads Item Audit History management New item creation / Maintenance workflow Roles based Accountability and Quality Standard Governance Key Requirements • Solution Completeness: Define NIR and CM workflows Use pre-build data models Use data steward workbenches to convert data Use Audit Workbench • iLink PDH to JDE E1 Adapter to synchronize item, attributes, item categories, BOM and related information from Hub to JDE E1 Oracle Product Hub Cloud Solution Completeness Quick Value Significant reduction in manual, repetitive tasks (in Quality , Compliance , others) required for Product data maintenance and approvals Improved ability to quick onboarding of new Plants Resource time savings by not manual validating/cleansing data for future rollout load in JDE E1 SaaS Solution - IT Cost Saving in build and Maintaianance 9/29/2016
  • 10. Before and After Oracle Product Hub Cloud 10 Without Product Hub With Product Hub Manual Item approval processes Automated Workflow/Processes Disparate Control Mechanism Role Based Accountability Manual/Error prone clean up/Validations during Data Load System based profiling, cleanup and transformation data uploads Missing Item Changes Traceability Audit History/Reporting No Data Quality Governance Auto Quality and compliance checks Adhoc Data Load Process Repeatable Data Load Process Suspect Quality of item data Trust in item Data Manual/ No Item definition Workflow Data Uploads is not governed and Complex Approval Process don’t extend across all the departments Quality and Compliance missing Standards governance 9/29/2016
  • 11. Quantified and Strategic Benefits with Oracle Product Hub Cloud 11 Quantified Value Strategic Value Drivers Additional Value • Better Product Taxonomy • Non- IT ways of Metadata Definition ( New Category and Attribute Creation) • Complete 360 degree View of Product Data for JDE E1. • Help with M&A strategy by cutting cycle time for on- boarding new companies item data • Support for future initiatives: BI, Ecommerce require JDE Data • Productivity gains (Cost Savings) in …. – Data Migration – Data Uploads – Faster Onboarding – IT Customizations – Application Life cycle Management Not Quantified • Single portal • Operating Efficiency improvement • Simplified Governance Process Benefits $$$$ 9/29/2016
  • 12. Best Practices- Key Areas of Implementation Focus 9/29/201612  Synchronize metadata and processes between Product Hub to JDE  Involvement of right Stakeholders  Educate and Train IT and end users on Product Hub Cloud functionality and values  Taxonomy for :  Product Categorization  Attributes  Metadata for Single Source of Truth for Product Data  Global and Regional Attributes  Data Extraction from Legacy Sources  Products are to be loaded from Legacy to Product Hub  The data should be classified into standard product taxonomy and Attributes  Item onboarding and Maintaianance Workflows  Item validation and Business Rules.  Audit History  Reports on Product Data Tracking  Integration with Product Hub Cloud to JDE E1  Synchronize item and Attributes  Flexible mapping of attributes from Product Hub Cloud to JDE E1 Impact Product Hub Cloud Implementation Best Practices Complexity Product Data Governance Cloud to On-Premise Integrations Mastering the Product Metadata Product Data Quality and Import 1 2 Change and Communication Management 53 4