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Here you grow.

Objectives

After successful completion of the course, the students/participant will be able to:

  • Define and configure the Data Model (PIM & DAM)
  • Setup a maintenance structure and Taxonomy
  • Manage Digital Assets
  • Import Data
  • Configure and execute Data Quality rules
  • Configure and manage workflows
  • Export data
  • Manage users, user groups and permissions
  • Configure dashboards, UIs
  • Configure Search Portal, Shares and Favourites

Agenda

M01: Configuring the Data Model (PIM & DAM)

  • Taxonomies
  • Product Paradigm
  • Attributes
  • Classes
  • Assisting Objects

M02: Dashboard

  • Configuration of the Dashboard and its tiles

M03: Configuration of the Open Search

  • Favourites & Shares
  • Attribute allocation on preview section
  • Facetted search configuration

M04: User Management

  • Manage users and user groups

M05: Configuring Workflows

  • Components of a Workflow
  • Configuring a sample Workflow

M06: Configuring Data Quality

  • Data Quality components
  • Configure and schedule data quality rules
  • Execute and analyse data quality runs

M07: Configuring dataflow Import & Export Jobs

  • Configure a dataflow Import & Export Job
  • Execute the dataflow Import & Export Job