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Executive Summary Overview Having accurate and up-to-date product data in an enterprise is a key to improving customer experience. Oracle Product Hub, along with a configurable publishing mechanism, helps in sharing clean product information as a single source of truth across enterprise applications. This process demands an effective framework, to standardize the product publishing process automatically from Product Hub, with configurable business criteria built in. This paper deals with a common framework for the product data publishing process, with business validation for each target system, which will improve productivity significantly with a user interface for configuring business criteria for data dissemination. The key business benefit from this is a simple, fast and automated publishing mechanism from Product Hub and easy on-boarding of new product data consuming systems, without any additional development effort. Over the past few decades, organizations have invested heavily in IT, which has helped them improve their supply chain efficiency. But this has resulted in master data spread being across multiple systems in the organization, which is in a constant state of flux. This is a major challenge and Automated Product Oracle Product Hub Is the Way Forward Data Publishing from organizations today are countering it by employing master data solutions in the enterprise. Where this is not implemented, ignoring data management may impact the ability to deliver the key enterprise functions and processes. Inaccurate product data is a leading source for process inefficiencies in any business, which leads to: Fragmented and duplicate information, leading to supply chain inefficiency and process inefficiencies in warehouse management, sourcing, replenishment, supplier payment processing, etc. Continuously evolving information, resulting in lost market opportunity. Low data quality, leading to bad user experience in channels where the end customer is not able to touch and feel the product. Difficulty achieving harmonized information sharing among organizations and trading partners, with an inadequate data collaboration mechanism. Product Hub needs to provide a common definition of the product across the organization. And to publish product information for multiple downstream applications, for performing different business processes around product data in downstream applications. ! ! ! ! Cognizant 20-20 Insights Cognizant 20-20 Insights A framework using Oracle tools and technologies to publish products from Oracle Product Hub to disparate product data consuming applications.
Transcript
Page 1: Automated Product Data Publishing from Oracle Product Hub ... · over 10 years of experience with five years in product master data management. Nandakumar has extensively worked for

Executive Summary

Overview

Having accurate and up-to-date product data in an

enterprise is a key to improving customer

experience. Oracle Product Hub, along with a

configurable publishing mechanism, helps in

sharing clean product information as a single

source of truth across enterprise applications.

This process demands an effective framework,

to standardize the product publishing process

automatical ly from Product Hub, with

configurable business criteria built in.

This paper deals with a common framework for the

product data publishing process, with business

validation for each target system, which will

improve productivity significantly with a user

interface for configuring business criteria for

data dissemination. The key business benefit

from this is a simple, fast and automated

publishing mechanism from Product Hub and

easy on-boarding of new product data consuming

systems, without any additional development

effort.

Over the past few decades, organizations have

invested heavily in IT, which has helped them

improve their supply chain efficiency. But this has

resulted in master data spread being across

multiple systems in the organization, which is in a

constant state of flux. This is a major challenge and

Automated ProductOracle Product Hub Is the Way Forward

Data Publishing from

organizations today are countering it by

employing master data solutions in the

enterprise. Where this is not implemented,

ignoring data management may impact the

ability to deliver the key enterprise functions and

processes. Inaccurate product data is a leading

source for process inefficiencies in any business,

which leads to:

Fragmented and duplicate information, leading

to supply chain inefficiency and process

inefficiencies in warehouse management,

sourcing, replenishment, supplier payment

processing, etc.

? Continuously evolving information, resulting in

lost market opportunity.

Low data quality, leading to bad user

experience in channels where the end

customer is not able to touch and feel the

product.

Difficulty achieving harmonized information

sharing among organizations and trading

partners, with an inadequate data collaboration

mechanism.

Product Hub needs to provide a common

definition of the product across the organization.

And to publish product information for multiple

downstream applications, for performing

different business processes around product data

in downstream applications.

!

!

!

!

?

?

• Cognizant 20-20 Insights

Cognizant 20-20 Insights

A framework using Oracle tools and technologies to publish products fromOracle Product Hub to disparate product data consuming applications.

Page 2: Automated Product Data Publishing from Oracle Product Hub ... · over 10 years of experience with five years in product master data management. Nandakumar has extensively worked for

2Cognizant 20-20 Insights

One of the key challenges for most of the

organizations implementing the Product Hub

solution is to automate the product dissemination

process, satisfying business criteria and

validation without manual intervention.

Whitespace Analysis

Our Oracle Solutions Practice provides services

ranging from business consulting to application

maintenance across Oracle’s entire solution suite.

Product Hub is to distribute data as a single

source of truth for consistent enterprise view.

A typical business scenario demands data

managed in Product Hub is published/

!

!

We propose a framework for publishing product data from Product Hub that will address the above

identified gaps. Our automatic publishing mechanism greatly aids efficient data dissemination and

provides easy on-boarding for new consumption/destination systems.

Product Data Publishing Mechanism

To get the most out of Oracle Fusion Product Hub

and to streamline the business process, we

propose a mechanism to identify, validate and

publish products from Product Hub.

Our product data publishing mechanism

comprises three key components:

Setup framework: For managing business

criteria, conditional validations and destination

systems, data requirements for each

destination systems and payload requirements

by business users.

l

l

l

Service to identify products: Service to

identify products that are eligible for

publishing for each destination system and

flag.

Service to publish: Service to bundle the

products for each destination system and

publish in outbound publishing interface

tables. And trigger middleware BPEL

components to pick up and interface with

destination systems.

Automatically

Identify Data

Entities for

Different

Systems

Identify

Eligible

Items for

Distribution

ConfigurablePublishing

Automatically

Identify Item for

Different

Systems

Manage

Payload

Type for Each

Downstream

Configurable Publishing Analysis

Figure 1

interfaced automatically, without manual

intervention, based on predefined business

criteria.

Business criteria include mandatory

validations, conditional validations based on

product lifecycle stage, data completeness

check, payload and frequency, etc.

These business criteria need to be user

configurable in Product Hub for business

flexibility.

Oracle Fusion Applications offers tools and

middleware to perform the product publishing

process, but there are no standard frameworks

prescribed by Oracle to facilitate the automatic

publishing process.

!

!

!

Page 3: Automated Product Data Publishing from Oracle Product Hub ... · over 10 years of experience with five years in product master data management. Nandakumar has extensively worked for

Why Auto Product Data Publishing?

In most organizations where the Product Hub

solution is implemented, a key challenge is to

perform validations specific to each target system

and disseminate the product information to

multiple downstream applications automatically.

This ensures real-time data synchronization

across the enterprise. Real-t ime data

synchronization is required in most of the

scenarios where information is continuously

managed from multiple trading partners, data

pools and product data management teams in

the organization. This will ensure that the right

data is synchronized with downstream

applications to improve supply chain efficiencies

and customer experience and to realize the true

benefits of implementing the Product Master

Data Management (PMDM) solution.

Product information needs vary for different

consuming applications and may involve different

sets of validations to be performed on the data.

And these validations will differ for organizations

and businesses. This is handled by the framework

proposed in this solution, where users can define

business rules and validations to be performed in

Product Hub through the user interface designed

for this purpose.

Data Validations

3

Trading

Partners

Fusion Product Hub

PDM

Enterprise

System(s)

UI for

Managing

Business

Criteria

Service

Identify

Service

Publish

Oracle Cognizant Solution In-house/External system

Enterprise

System(s)

Publishing Mechanisms

Figure 2

Cognizant 20-20 Insights

Page 4: Automated Product Data Publishing from Oracle Product Hub ... · over 10 years of experience with five years in product master data management. Nandakumar has extensively worked for

4

Solution Design Principle and Process

l

l

Oracle Fusion Product Hub is a single source

of truth for all product information across

the enterprise.

Business criteria/rules for publishing product

data are configurable by business users.

lEasy on-boarding of new downstream systems

for data integration/publishing from Product

Hub with no additional development effort in

Product Hub.

List of Data Validations

Figure 3

Solution Design Process

l

lSet up products in Product Hub or

induct products from upstream

systems.

Define metadata in Product Hub.

l

l

l

different target systems.

Define business criteria specific

for each target system to

identify products to distribute.

Manage data in framework

through UI for data publishing.

Define entities to be published to

l

l

l

Service to run as designed and

fetch the rules/information

captured in the framework for

publishing.

Products identified for different

target systems and flagged.

Products are bundled and

published for each target

systems with batch tag.

Figure 4

Cognizant 20-20 Insights

Mandatory Validations Target-specific validations to ensure mandatory product data availability before dissemination.

Conditional Validations Target-specific validations based on product life stage.

Data Completeness Check Target-specific data completeness check before publishing product information to downstream systems.

Business-Line-SpecificValidations

For different lines of business/product categories, business validations vary for each target system.

Payload and FrequencyTarget-specific needs on payload information and frequency will be looked at by service before the product is flagged and published.

Data ConsumingApplications

Newly built service will make use of consuming application information to decide on the batches and hence make onboarding easier.

Page 5: Automated Product Data Publishing from Oracle Product Hub ... · over 10 years of experience with five years in product master data management. Nandakumar has extensively worked for

Benefits: Automated Data Publishing

Framework

Our product data publishing mechanism is an

effective accelerator that facilitates any

organization’s data interfacing needs and

makes it simpler between Product Hub and

downstream applications. It helps in:

l

l

l

Reducing cost by eliminating extensions for

target-specific needs.

Eliminating developmental efforts for adding

additional data entities for interfacing after

go-live.

Eliminating developmental efforts for

onboarding new destination systems for

Product Hub.

l

l

l

l

Automating product data publishing from

Product Hub based on predefined rules.

Shortening implementation time.

Enhancing business performance.

Supporting multi-tenancy and

internationalization needs.

Oracle Product Hub, together with our solution

for sharing clean product information, ensures

the completeness of a PMDM solution for any

organization, without the need for continuous

developmental efforts. This could prove to be a

powerful platform for organizations to derive real

business benefits out of the Product Hub

solution.

Conclusion

About the Author

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About Cognizant

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business

process outsourcing services, dedicated to helping the world's leading companies build stronger

businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client

satisfaction, technology innovation, deep industry and business process expertise, and a global,

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Cognizant.

www.cognizant.com

Nandakumar Balasubramanian is a Project Manager with Cognizant’s Oracle Solutions Practice and has

over 10 years of experience with five years in product master data management. Nandakumar has

extensively worked for clients in retail, high tech and publishing industry domains. He provides process,

domain and technology consulting and has extensive experience in business process analysis, solution

design and implementation in the area of product data management. He holds a bachelor's

degree in engineering with specialization in mechanical engineering. He can be reached at

[email protected].


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