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Oracle PIM Online Training

  • OVERVIEW OF PRODUCT INFORMATION MANAGEMENT
  • SETTING UP PRODUCT INFORMATION MANAGEMENT
    • Setup Prerequisites
    • Overview of PIM Profile Options and Other Default Options
    • Overview of Item Catalog Categories, Attributes, and Value Sets
    • Creating Value Sets
    • Defining Attribute Groups and Attributes
    • Creating Item Catalog Categories
    • Setting Up Other Features Associated with Item Catalog Categories
    • Discussing Use of Alternate Catalogs
  • ROLES AND IMPLEMENTING ROLE-BASED SECURITY
    • People and Roles Administration Overview
    • Managing People and Roles
    • Managing People, Groups and Companies
    • Managing Organization-level Roles
    • Implementing Role-based Security
    • Securing Attribute Groups
  • CREATING ITEMS
    • Creating New Items Manually
    • Importing Items
    • Creating New Item Requests
    • Creating Item Revisions
    • Using E-Business Suite Attachments
    • Using Item Business Events
  • USING STYLE AND SKU ITEMS
    • Overview of Style and SKU items
    • Creating Parent and Child Value Sets
    • Assigning Variant Attribute Groups to an ICC
    • Creating Style and SKU Items
    • Creating a SKU Packaging Hierarchy
  • ITEM MAINTENANCE
    • Mass Updating Items, Categories and Associations
  • STRUCTURE MANAGEMENT
    • Overview
    • Defining Structure Types and Names
    • Associating Structure Names with Types
    • Defining Structure and Component Attributes
    • Managing Item Structures
    • Viewing Item Structures
    • Performing Item Where-Used Queries
  • USING THE PRODUCT WORKBENCH
    • Overview
    • Browsing and Navigating the Product Workbench
    • Managing Items
    • Managing the Product Structure and Bills of Material
    • Managing Product Change
  • USING METADATA VERSIONS, TRANSACTION ATTRIBUTES, AND ICC STRUCTURES
    • Overview of Metadata Versions
    • Overview of ICC Structures
    • Using Metadata Versions
    • Overriding Component Attribute Values
    • Excluding Transaction Attribute Value Set Values
  • ADMINISTERING ITEM BUSINESS RULES
    • Overview of Item Business Rules
    • Creating Rule Sets
    • Building Rule Expressions
    • Viewing Rule Set Dependencies
  • USING IMPORT WORKBENCH
    • Overview of Product Data Synchronization and Data Quality Management
    • Importing Production Information Using the Import Workbench
    • Creating Match Rules
    • Defining Source Systems
    • Creating Batches
    • Reviewing and Importing Batches
    • Performing Actions on Batches
  • PUBLISHING DATA TO OTHER SYSTEMS
    • Assigning Systems to an Item Catalog Category
    • Publishing an Item Catalog Category
    • Publishing Value Sets
    • Publishing Items and Structures
    • Viewing the Publishing History

 

Oracle Product Information Management (PIM) Training  Data Hub is an enterprise data management solution that enables customers to centralize all product information from heterogeneous systems, creating a single view of product information that can be leveraged across all functional departments. A Product Information Management (PIM) Corporate Training solution provides a single place to collect, manage, and enrich your product information, create a product catalog, and distribute it to your sales and ecommerce channels. A PIM solution makes it faster and easier to create and deliver compelling product experiences.

Benefits of  Oracle PIM Training:

  • Consolidate all product information
  • Cleanse: Includes a data import workbench to manage source system mappings and data loads
  • Excel based Imports and Exports: Spreadsheet import for easy upload and maintenance
  • Bulk Imports: Optimized bulk import through staging tables
  • Service Oriented Architecture: Integrate using prebuilt, standards compliant business services and adapters
  • Import data and synchronize multiple systems.
  • Workflow based Collaboration: Highly configurable change management workflows with approval routing
  • Securely access and search your information repository
  • From Governance and Compliance prospective they can automate with the help of workflow based processes that can perform rule based validation and data correction

Duration

30-35 hrs

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