Who Should Attend &
Course FAQs

Participants should have a solid foundation in logical data modeling.

You should already understand fundamental concepts such as entities, attributes, relationships, cardinality, dependencies, data-oriented business rules, and Entity Relationship modeling. The course builds on those fundamentals rather than introducing them from the beginning.

Professionals who need to establish or strengthen this foundation should complete Inteq's Logical Data Modeling training course before attending Advanced Data Modeling.

Logical Data Modeling establishes the core discipline. Advanced Data Modeling extends that discipline to complex, cross-enterprise information structures and business rules.

Rather than focusing primarily on foundational entities, attributes, relationships, and cardinality, the advanced course addresses abstraction, generalization, advanced subtype structures, recursive networks, conditional relationships, rules-based entity types, state transitions, metadata analysis, and enterprise-wide requirements.

The objective is to move beyond isolated project models toward flexible, extensible, semantically consistent data structures that can be reused and harmonized across enterprise initiatives.

Abstraction and generalization help modelers identify the underlying business concepts and structures that multiple detailed requirements have in common.

The course addresses techniques including:

• Generalization of entity types
• Transition from metadata to data
• Static versus dynamic entity types
• Data coupling and cohesion

These techniques help reduce unnecessary duplication and create models that can accommodate changing requirements without repeatedly redesigning core structures.

The course teaches reusable patterns for analyzing and representing complex data-oriented business rules that are difficult to model with basic structures alone.

Advanced patterns include:

• Advanced subtype variations
• Multi-recursive networks
• Conditional recursions
• Rules-based entity types
• State transition rules
• Meta patterns

Participants learn not only how to recognize these patterns, but also how to determine when they accurately represent the underlying business semantics.

Advanced Data Modeling shifts the focus from isolated project requirements to patterns and requirements that span business domains and enterprise initiatives.

Participants learn techniques for:

• Analyzing metadata for abstractions
• Sequencing requirements analysis
• Developing cohesive subject areas
• Developing model flexibility

The result is a more extensible model that can accommodate new requirements, support integration across systems, and reduce downstream redesign as the organization evolves.

Yes. Participants apply the techniques to a complex business case rather than studying the concepts only in isolation.

The case study requires participants to analyze complex business requirements and create a detailed logical data model using multiple advanced patterns and analysis techniques.

The course also addresses practical considerations such as conceptual versus logical modeling, logical-to-physical transformation, business rule discovery, enterprise reference models, and putting advanced techniques into practice within real initiatives.

You will be able to apply advanced modeling techniques to complex enterprise data requirements and develop models that are clearer, more flexible, and more scalable.

• Analyze complex cross-enterprise data requirements and business rules
• Identify opportunities for abstraction and generalization
• Apply advanced subtype, recursive, conditional, and rules-based patterns
• Model state-dependent and dynamic business structures
• Analyze metadata to discover reusable abstractions
• Develop cohesive enterprise subject areas
• Create more flexible and extensible logical data models
• Improve semantic consistency across applications and domains
• Support system modernization, ERP, integration, and enterprise architecture initiatives
• Apply advanced techniques through a realistic business case

The course includes professional development credentials, completion recognition, and comprehensive course resources.

• 1.4 CEUs
• 14 IIBA PDUs or CDUs
• Personalized Advanced Data Modeling digital badge
• Certificate of Completion
• Comprehensive course manual
• Templates, models, frameworks, patterns, and techniques used throughout the course

Inteq is an IIBA Endorsed Education Provider.

Two delivery formats are available: self-paced Anytime eLearning™ and live Team Training.

Anytime eLearning™ : Self-paced online training available anytime and from any device, with 90-day course access. Tuition is $695.

Team Training : Live virtual or onsite instructor-led training for organizations. Delivery can be aligned with your organization's data environment, modeling challenges, participants, and business objectives. Contact Inteq for Team Training scope and pricing.

Yes. Inteq is an approved GSA prime contractor, and Inteq training and consulting services are available to U.S. Government organizations through applicable GSA Professional Services Schedule offerings.