Advanced Data Modeling Training Course
Data Modeling for Enterprise Solutions


IIBA Endorsed Education Provider| ACCET Acccredited 

Inteq’s Advanced Data Modeling course moves beyond siloed, project-specific rules and requirements toward abstracting, generalizing, and harmonizing data requirements across the enterprise.

This course prepares participants to develop robust, scalable extensible data models and data structures that evolve with your organization’s needs. Learn advanced data modeling techniques to support system modernization, ERP configuration, and scalable enterprise architecture.

Inteq’s Advanced Data Modeling course is your roadmap to analyzing and modeling complex data-oriented business rules and scenarios. Join over 300,000 business and IT professionals trained by Inteq worldwide

What You Will Learn

  • Design robust, scalable, extensible enterprise-level data models
  • Apply advanced normalization and denormalization techniques
  • Model complex relationships including nested hierarchies, multi-recursive structures and state transition
  • Handle data integration, abstraction, and generalization
  • Bridge conceptual, logical, and physical data modeling layers
  • Optimize models for performance, clarity, and business alignment
  • Best practices for standardizing modeling components and metadata
  • Explore the impact of data model abstraction on physical database design and system development.

Who Should Attend

  • Data Modelers and Data Architects
  • Business Analysts and Systems Analysts working in complex data environments
  • Database Developers and Software Engineers
  • Enterprise Architects and IT Professionals
  • Business Analytics specialists needing a deeper understanding of data structures for complex queries
  • Professionals responsible for data strategy and governance

Course Benefits

  • Advance your technical capabilities in data modeling and design
  • Improve data quality, consistency, and accessibility across systems
  • Support strategic decisions with better data structures
  • Lead or contribute to enterprise data architecture initiatives
  • Enhance your career in data modeling, business analysis and systems analysis

Course Format & Delivery Options

  • Delivery: Live online, self-paced on-demand, or onsite
  • Duration: 2 days | 16 Hours
  • Certification: Certificate of Completion + CEUs
  • Tools Provided: Templates, models, and frameworks for reuse

What Sets This Course Apart

  • Taught by enterprise data modeling expert James Proctor
  • This course draws on decades of real-world consulting to deliver advanced, actionable techniques
  • Advanced data patterns that enable you to quickly recognize and accurately analyze complex cross-enterprise data-oriented business rules and validate complex requirements
  • Transformation: This is not just a training course but a transformational experience that prepares you and your team to become trusted advisors in your organization

Register Now

Ready to elevate your data modeling expertise? Add to cart (see side panel) and start learning as soon as today. Or, for Team Training, please contact us via the Team Training side panel to discuss your specific training goals and objectives - including 3, 4 and 5-day hybrid and bootcamp training programs.

Course Outline

Introduction And Foundation

Cross enterprise analysis

Model driven analysis

Baseline data patterns

Complex data patterns

Abstraction And Generalization

Generalization of entity types

Transition from meta-data to data

Static vs. dynamic entity types

Data coupling and cohesion

Advanced Data Patterns

Advanced subtype variations

Multi-recursive networks

Conditional recursions

Rules-based entity types

State transition rules

Meta patterns

Enterprise Requirements Analysis

Analyzing meta-data for abstractions

Sequencing requirements analysis

Developing cohesive subject areas

Developing model flexibility

Case Study

Participants analyze a complex business case and create a detailed logical data model utilizing a variety of advanced patterns and analysis techniques. This session provides invaluable hands-on experience in applying the techniques to enable participants to immediately apply the techniques effectively within their own organization.

Best Practices And Practical Tips

Conceptual v. logical data model

Logical to physical transformation

Business rule discovery techniques

Enterprise reference models

Putting the concepts into practice

Top 5 Relevant Blog Posts
  1. Business Systems Analysis Training Course
    This course provides foundational knowledge in business systems analysis, which complements the advanced data modeling techniques by ensuring a holistic understanding of system requirements and data structures.

  2. How to Analyze a Business System
    This blog post offers insights into analyzing business systems, a skill that is crucial when applying advanced data modeling techniques to real-world scenarios.

  3. Business Systems Analysis Tools
    This article discusses tools that aid in business systems analysis, which are instrumental when engaging in advanced data modeling to ensure accurate and efficient data representation.

  4. The Most In-Demand Skills for Business Systems Analysts
    Understanding the skills required for business systems analysts helps in aligning advanced data modeling practices with industry expectations and standards.

  5. Business Analyst vs. Business Systems Analyst: Key Differences and Overlaps
    This blog post clarifies the roles and responsibilities, aiding in understanding how advanced data modeling fits within different professional scopes.
What’s In the box?

OK, there is not a box per se, the content is digital. In addition to 2-days/16 hours of expert instruction you receive:

  • Digital Badge of Completion
  • Personalized Certificate of Completion
  • ACCET Continuing Education Units (CEUs)
  • IIBA Professional Development Units (PDUs)
  • Electronic (PDF) Comprehensive Course Manual
  • Case Study Materials
  • Supplemental Course Materials
Learning Options:
  • Anytime eLearning™: Self-Paced Training For Busy Professionals
    Inteq’s Anytime eLearning™ provides the perfect option for individuals and small groups to acquire professional level analysis skills as-needed and just-in-time. The course is designed for two days, but Anytime eLearning™ allows self-paced learning. Course access is 90 days, with most participants finishing in 1-3 weeks. Start training as soon as today! 

     
  • Live Virtual Classroom: Instructor Led | Live Online. Inteq's innovative Live Virtual Classroom approach brings the benefits of traditional classroom training into a live virtual environment.

  • Live Team Training (Virtual or Onsite): Inteq’s Business Systems Analysis 2-day training course can be tailored to your organization’s training objectives and can be combined with other Inteq courses to create a 3, 4 and 5-day hybrid training program.

  • Enterprise training for the entire organization.
Prerequisites:

Prerequisite: None. However, Inteq's Data Modeling training course is highly recommended. 

Advanced Data Modeling integrates seamlessly with Inteq’s training courses: