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Unlock the Value of Omni-Channel Commerce with Product Information Management – CON8384
Bruck AssefaSenior Product Strategy ManagerProduct Value Chain SolutionsOct 2, 2014
Copyright © 2014, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
Safe Harbor StatementThe 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.
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
Program Agenda
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Omni-Channel Commerce Overview
The Challenges With Managing Product Data
Fusion Product Hub Overview – PIM for Omni-Channel Commerce
Key Takeaways
Q&A
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Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
The Empowered Consumer
Interacts through Various Channels
Looks for More Value Anywhere,
Anytime
Expects Consistent Experience Across
Channels
Has Social Presence
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
What Does This Mean for Businesses?
• Get products out to market quickly
• Market products across different channels
• Accept orders various different channels
• Provide accurate and consistent product information
• Cross-Sell/Up-Sell to increase revenue
It’s Not Just About Selling, It’s Also About Fulfilling!
• Deliver the right products
• Deliver products on time
• Provide delivery choice (e.g. ship vs in-store pickup)
• Manage exchanges/returns across channels
• Provide superior customer service
Sell
Fulfi
ll
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
What Is the Bottleneck?
• Fragmented Data
• Missing Data
• Erroneous Data
• Inconsistent Data
• Irrelevant Data
It Can Be Data or Process
• Slow New Item Introduction Process
• Manual Error Remediation Process
• Inefficient Change Management Process
• Unreliable Reporting Process
• Lack of Effective Trading Partner Collaboration
Dat
a
Proc
ess
Bad Data Contributes to Inefficient Processes Ungoverned Processes Contribute to Bad Data
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
What Are The Challenges With Managing Product Data?
Data On-Boarding Data Quality
Data Sharing Data Enrichment & Data Governance
Consolidating data from trading partners and disparate internal systems
Ensuring complete, accurate and standardized product data
Enforcing business rules and policies while enriching data for enterprise use
Sharing complete, relevant and timely product data to consuming systems
They Span The Following Key Processes
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Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
The Data On-Boarding Challenge
Fragmented data sources Slow or manual processes
Different industry standards and formats
Lack of effective trading partner collaboration
How can I consolidate the data that I receive from CNET and directly from my suppliers?
How do I reduce manual product uploads and error checks?
How can I enable self-service to my suppliers so I can focus on dealing with exceptions?
How can I onboard data that my suppliers send me via GDSN?
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
The Data Quality Challenge
Poorly classified or uncategorized products
Missing or incomplete data
Inconsistent, non-standard or misspelt descriptions and data formats
Duplicate records
Why is a digital photo frame item categorized under my Digital Camera category?
Why is the ‘Brand’ attribute not populated?
Why do I have multiple item numbers for the same product?
Why do I have misspellings in the product description and different ways of describing the same UOM?
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
The Data Enrichment ChallengeInability to centrally manage commercial and operational data
Fragmented digital assets
Data variation by channel, target market or organization
Lack of effective catalog management
How can I enrich my products with cross-sell/up-sell items for commerce and substitute items for order fulfillment?
Where can I locate the right images for my products?
How can I store multi-lingual descriptions and localized currencies for my different target markets?
How can I manage the same product in my various web, print and department store catalogs?
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
The Data Governance Challenge
Manual orchestration of product definition across stakeholders
Loose change management policies
Inability to enforce business rules Lack of audit trail
Who owns this data and when should they provide it?
Why was the ‘Price’ changed without my approval?
Who changed what data when?Why is the ‘last order date’ earlier than the ‘first order date’ and which of my other products are affected?
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
The Data Sharing Challenge
System Proliferation Publication of inaccurate or incomplete data
Different data requirements by consuming systems
Different frequency requirements by consuming systems
How can I share product data to the new commerce platform from our acquisition?
Why did we publish to our website without ‘Brand’ information?
How can I ensure all the packaging information I need for my ERP is not published to our website?
How can I ensure my commerce platform gets product updates every hour? My ERP needs it daily.
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
Fusion Product HubFoundation for Omni-Channel Product Information Management
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
Modern, Purpose-Built, Extensible, Deployed on Oracle Public CloudEnterprise Grade Product Information Management
Fusion Product HubEasy to deploy, easy to
use, easy to adapt
Data On-Boarding
On-board product data from multiple systems and trading
partners
Data Quality
Data Enrichment & Governance
Establish governance during the creation, update and retirement of
product data
Data Sharing
Share relevant, timely and validated product data to all consuming
systems
Ensure data is appropriately classified, standardized and de-
duplicated
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Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
Data On-BoardingConsolidate Product Data into a Centralized Repository
Achieve a Consolidated and Harmonized Product Data
Self-Service
Closed-Loop
Flexible
• Provide a dedicated portal for your suppliers for self-service product upload and data quality check
• Free up your resources to collaborate on exceptions
• Ensure incoming data is automatically checked for data quality
• Remediate data quality issues and validation errors prior to import
• Automatically notify suppliers of failed or successful imports
• Leverage a robust GDSN infrastructure that gives you flexibility to extend to your chosen GS1 data pool
• Onboard data from any heterogeneous system via your chosen methods in any format and frequency
Fusion Product
Hub
Data Onboarding
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
Data QualityAchieve Trust in Your Product Data with Enterprise Data Quality for Product
Empower Your Business With Clean Product Data
Classified
Standardized
De-Duplicated
• Semantic recognition of descriptions to determine appropriate product classification
• Auto categorize to one or more catalog categories• Ensure consistent and standardized product
descriptions
• Auto-generate standardized short, medium, and long descriptions of various character lengths
• Extract values from standardized descriptions and auto-populate attributes
• Identify matches based on GTINs, trading partner items (MPNs, Supplier Items, etc) and attributes
• Enable data stewards to review and act on potential duplicates and other data quality results at all points of data entry
Fusion Product
Hub
Data Quality
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
Data Enrichment & GovernanceEnable Product Data for Your Enterprise
Enrich and Govern Product Data For Your Enterprise
Enterprise Grade
Governed
Optimized
• Benefit from a rich data model that supports product taxonomy, attributes, catalogs, relationships, structures, associations and digital assets
• Maintain localized and multi-lingual product data
• Establish role-based and data security to control data access
• Leverage business rules to ensure data integrity and assess business impact
• Orchestrate product definition and updates via a governed workflow and approval process
• Enforce and Monitor Audit Trail
• Empower business users with optimized UI for easy product maintenance and mass update
Fusion Product
Hub
Data Enrichment & Governance
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
Data SharingShare the Right Product Data at the Right Time
Empower Your Businesses with Timely and Accurate Data
Relevant
Validated
Timely
• Specify publication criteria to publish only relevant data to consuming systems
• Associate business rules to spoke systems to validate product data prior to publication
• Ensure only products that have passed the validations are published
• Schedule product publications at the required frequency to deliver product updates to the right applications at the right time
Fusion Product
Hub
Data Sharing
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
What Does This Mean for Omni-Channel Commerce?
Efficient and self-service data on-boarding means faster time to market
Integrated data quality enables clean, standardized and appropriately categorized products in your sales channels
Rich and extensible data model supports your sales and fulfillment processes from a centralized enterprise product record
A robust governance framework enforces your business rules and change management policies
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Key Takeaways
Streamlined data sharing makes the right data available to the right system at the right time
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Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
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