Informatica IDMC Customer 360 SaaS Data Modeling Masterclass

Name: Informatica IDMC Customer 360 SaaS Data Modeling Masterclass
Rating: 4.6 (15 reviews)

Master Customer 360 SaaS data modeling with entities, field groups, relationships, reference data, and best practices.

Created byDurga Nand Mondal

Last updated 10/2026

English

English [Auto],

What you'll learn

Explain the core concepts of document style data modeling & understand how it differs from traditional relational modeling in Informatica Customer 360 MDM SaaS.
Configure & customize the Informatica Customer 360 SaaS MDM data model by creating business entities, field groups, relationships, reference data, & picklists.
Apply industry best practices to build scalable, maintainable, & high-quality Informatica Customer 360 SaaS MDM data models for enterprise MDM implementations.
Design an end-to-end Informatica Customer 360 SaaS MDM data model that meets business requirements and supports data quality, extensibility, and future growth.
Evaluate business requirements & make informed data modeling decisions using Informatica Customer360 SaaS MDM design principles & implementation best practices.

Course content

5 sections • 36 lectures • 1h 55m total length

Welcome & Course Introduction1:48
Why Data Modeling Matters in IDMC MDM SaaS?6:05
What You'll Build During This Course4:39
Course Roadmap3:45
Course Resources & How to Follow Along4:19

Introduction to Document-Style Data Modeling4:08
Why Traditional Relational Models Fall Short1:45
Understanding the Document-Style Model1:55
Key Document Modeling Terminology2:39
Transforming a Conceptual Model into a MDM SaaS Data Model2:26
Relational vs. Document-Style Modeling1:20
Designing the Physical Data Model2:11
Exploring the Customer 360 SaaS Schema1:42
Accessing and Understanding the Underlying Database1:04

Understanding the IDMC Services Behind Customer 360 SaaS1:57
Exploring the Customer 360 SaaS Architecture1:30
Navigating the Customer 360 SaaS Application3:50
C360 SaaS - Organization Business Entity Overview1:38
Creating and Managing Picklists1:20
Working with Dependent Picklists0:49
Hands-on Demo: Configuring Picklists4:46
Understanding Field Groups1:17
Creating a Custom Business Entity0:51
Modeling Relationships Between Business Entities1:35
Visualizing Relationships in the User Interface0:52
Designing and Managing Hierarchies1:11
Configuring Data Quality Rules1:59
End-to-End Hands-on Demo(Part 1 of 3) : Business Scenario and Design Decisions7:22
Before we open the console, we start where every real implementation starts: the business requirement. In this lecture, you’ll meet the NovaCare Care Facility scenario and see how each requirement turns into a data modeling decision.
You’ll learn how to:
Read a business requirement and identify what needs to be managed independently
Decide between basic fields, smart fields, field groups, reference data, relationships, and hierarchies
Plan the eight configuration steps we will build in the live demo.
End-to-End Hands-on Demo(Part 2 of 3) : Building the Data Model Live15:53
This is the hands-on part. We build the Care Facility model in Business 360 Console, step by step, following the design decisions from Part 1.
In this live demo, we:
Create the CareFacility business entity and add basic and smart fields
Set up reference data and a repeating accreditation field group
Create relationships to Organization and Person, and build an organization hierarchy
Apply a data quality rule and configure the business application page.
End-to-End Hands-on Demo(Part 3 of 3) : Review, Validation and Key Takeaways4:54
A model is only finished when you’ve checked that it meets the requirement. In this lecture, we review the final Care Facility model, then validate each part in the actual Business 360 Console.
You’ll see how to:
Confirm that every business requirement is covered in the final model
Check the entity, fields, field group, relationships, and data quality rule in the console
Take away the modeling mindset to use in your own Customer 360 SaaS implementations
Refer back to the lab guide PDF and sample files in the Resources section as you review your own model in your IDMC environment. For further reading, the official Informatica documentation on data modeling in Business 360 Console is linked in the Resources section.

Requirements

Basic understanding of Master Data Management (MDM) concepts is recommended.
Familiarity with Informatica Intelligent Data Management Cloud (IDMC) or Customer 360 SaaS is helpful but not mandatory.
Basic knowledge of relational databases and data modeling concepts (entities, attributes, and relationships) is recommended.
No software installation is required. All demonstrations are performed using the Informatica Customer 360 SaaS platform.

Description

This course contains the use of artificial intelligence.

Informatica IDMC Customer 360 SaaS Data Modeling Masterclass

Are you looking to master Informatica Intelligent Data Management Cloud (IDMC) Customer 360 SaaS Data Modeling for enterprise Master Data Management (MDM) implementations? If so, this course is designed specifically for you.

Informatica Customer 360 SaaS introduces a modern document-style data modeling approach that is fundamentally different from traditional relational MDM platforms. Understanding these concepts is essential for designing scalable, flexible, and high-performing Customer 360 SaaS implementations.

In this implementation-focused masterclass, you'll learn not only how to configure the Customer 360 SaaS data model, but also why specific design decisions are made and when to apply industry best practices. The course combines conceptual explanations, product demonstrations, quizzes, and hands-on exercises to help you confidently build enterprise-grade data models.

In this course, you will learn how to:

Understand the fundamentals of document-style data modeling and compare it with traditional relational modeling.
Explore the predefined Customer 360 SaaS data model and understand its core components.
Create and customize Business Entities, Relationships, Field Groups, Picklists, Hierarchies, and Reference Data.
Configure and extend the Customer 360 SaaS data model to support new business requirements.
Understand Collections, Documents, Sub-documents, and Links used within the Customer 360 SaaS architecture.
Apply data modeling best practices to build scalable, maintainable, and high-quality MDM solutions.
Avoid common modeling mistakes and make informed design decisions during enterprise implementations.
Complete quizzes and an end-to-end implementation challenge to reinforce your learning.

This course is intended for MDM Developers, Solution Architects, Data Architects, Technical Consultants, Data Modelers, and Informatica professionals who want practical, real-world knowledge of Customer 360 SaaS data modeling. It is also an excellent choice for professionals transitioning from Informatica MDM on-premises to Informatica IDMC Customer 360 SaaS.

Unlike introductory product overview courses, this course emphasizes implementation experience, architecture, and real-world design considerations. You'll gain the knowledge and confidence needed to design, customize, and extend Customer 360 SaaS data models for enterprise MDM projects using proven best practices.

Whether you're preparing for a new implementation, modernizing an existing MDM solution, or expanding your Informatica IDMC expertise, this course will equip you with practical skills that you can apply immediately in your organization.

Enroll today and take the next step toward becoming an Informatica IDMC Customer 360 SaaS Data Modeling expert.

Who this course is for:

MDM Developers, Consultants, and Technical Professionals implementing Informatica Customer 360 SaaS solutions.
Solution Architects and Data Architects designing scalable Customer 360 SaaS data models for enterprise MDM implementations.
Informatica MDM professionals transitioning from on-premises MDM to Informatica Intelligent Data Management Cloud (IDMC).
Technical Leads and Project Teams responsible for configuring business entities, relationships, field groups, reference data, and data quality on IDMC platform.
Professionals seeking practical, implementation-focused knowledge of Informatica Customer 360 SaaS data modeling and best practices.

Informatica IDMC Customer 360 SaaS Data Modeling Masterclass

What you'll learn

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Course content

Course Introduction5 lectures • 21min

Mastering Document-Style Data Modeling for Customer 360 SaaS9 lectures • 19min

Exploring and Customizing the Customer 360 SaaS Data Model16 lectures • 52min

Best Practices for Designing Scalable Customer 360 SaaS Data Models4 lectures • 12min

Course Summary, Knowledge Check & Next Steps2 lectures • 9min

Requirements

Description

Who this course is for: