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MDM SaaS: Enrichment and Validation Orchestration

onDemand eLearning | Master Data Management | Self-Paced | November 2025 Release

Course Overview

Learn to understand Data Enrichment and Validation Orchestration (EVO) using MDM SaaS.
Explore concepts such as configuring Rule Associations, creating Objectives and objective Groups, designing Data Enhancement Rules, configuring Validations, and building Application Integration Processes to improve Data Quality in Master Data Management.
Applicable to November 2025 Release.

Objectives

After successfully completing this course, students should be able to:

  • Explain the Architecture and Components of the Enrichment and Validation Orchestrator
  • Configure Rule Associations for Data Enrichment and Validations
  • Design and Implement Application Integration processes for Enrichment and Validation Scenarios
  • Create and Manage objective Groups and Objectives to Organize Data Enrichment Tasks
  • Configure and Use Plugins for Validation, Enrichment, Cleansing, and Standardization
  • Navigate advanced Settings such as Record Types, Triggers, and rejecting invalid Records
  • Understand and Apply Guidelines for Field Mappings, Validation Error Handling, and Trust Score Downgrading

Target Audience

  • Developer

Prerequisites

  • None
Agenda
Module 1: Data Quality and EVO Framework
  • Define Data Quality & the Importance of Trustworthy Data
  • Introduction to Enrichment & Validation Orchestrator (EVO)
  • EVO Architecture
  • Key EVO Components Overview
Module 2: Use Cases of EVO
  • Unlock new Use Cases with EVO
  • Manage Validation Failure and Enrichment
Module 3: Configuring Objective Groups and Objectives
  • Introduction to objective Groups and Objectives
  • Configure Rule Associations for Data Enrichment and Validation
  • Manage Objectives and Rule Associations
  • Guidelines to achieve effective Data Enrichment and Validation
Module 4: EVO Plugins: Overview and Types
  • Introduction to Plugins
  • Types of Plugins and Plugin Properties
  • Data Enrichment Configurations Scenario
Module 5: Leveraging CAI for Advanced Data Quality
  • Introduction to Application Integration-based Plugins
  • Configure the Cleansing, Enrichment, and Validation Plugins
  • Configure CAI Process Properties and Parameters
Module 6: Pre-Configured Recipes and Samples
  • Introduction to Recipes
  • Configure and Use Recipes
  • Application Integration-Based Enrichment Process
Module 7: Best Practices and Troubleshooting
  • Recommended Best Practices
  • Monitor and Manage Assets
  • Integrity Checks
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