Unlock the Value of Omni- Channel Commerce with Product Information Management – CON8384 Bruck...

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.


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


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


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


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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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?


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?


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?


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?


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.


Fusion Product HubFoundation for Omni-Channel Product Information Management


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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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


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


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


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


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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