Business terminology encapsulates an organization’s business concepts, relational structures and body of knowledge known as "data-oriented business rules."

These rules are often ambiguous, unofficially govern how organizations operate, how decisions are made, and often form the basis for data-oriented business system and business intelligence requirements.

Ambiguous requirements result in costly, inflexible, maintenance-intensive information systems. That’s truly unfortunate because there is a clear path to getting the requirements right.

Inteq’s Logical Data Modeling training course provides the best practice techniques and methods to:

Identify, analyze, and transform ambiguous business concepts into clear, concise, extensible data-oriented rules that deeply support business systems and business intelligence requirements.
Uncover the foundational patterns and unique nuances of your organization’s data-oriented business rules.
Utilize these patterns and nuances to rapidly discover, clearly visualize, critically analyze, and precisely specify data-oriented business rules via entity-relationship (ER) diagrams.

This is not just a training course but a transformational experience that prepares you to become a trusted advisor for the challenges of tomorrow's business landscape.

Course Outline

Introduction And Foundation

Data-oriented business rules

The business vocabulary

Business transactions vs. business intelligence

Rules vs. knowledge

E/R diagrams and data models

Framework For E/R Diagramming

Business entity types

Attributes and meta-data

Cardinality and dependency

Principle relationships

Diagramming Baseline Rules And Patterns

Domain entity types

Associative relationships

Domain-based associations

Repeating groups

Transactional relationships

Diagramming Complex Rules And Patterns

Super type / sub-type relationships

Recursive hierarchies

Recursive networks

Role-based associations

Time-dependent data

Diagramming BI Rules And Patterns

Tactical and strategic business questions

Business facts and dimensions

Analyzing cross-organizational facts

Dimensional modeling

Business Rule Generalization

Normalizing business data

Generalizing business entities

Analyzing meta-data for abstractions

Data Modeling At-Scale Case Study

Participants analyze a complex business domain and develop a comprehensive logical data model. This case study provides an invaluable data model template that participants can leverage to jump start and improve logical data modeling and data analysis in their organization.

Leveraging AI Prompt Engineering*

Overview of Generative AI (GenAI)

The secret sauce: Asking the right questions via prompt engineering

Applying AI prompt engineering to identifying data oriented business rules.

10 myths of analysis

Practical Guidance And Best Practices

Scaling models to the enterprise level

Model transformation; conceptual > logical > physical

Using reference models to leverage analysis

Implementation considerations and best practices

Getting started

Learning Objectives | You Will Learn | Key Benefits

Critical thinking skills to cut though superficial and ambiguous discussions to distill core business concepts.
Recognize recurring patterns of data-oriented business rules to improve the quality and speed of analysis.
Techniques that enable thorough analysis of complex business rules and validation of complex requirements.
Create a precise, common vocabulary that is consistent among business end-users, analysts, IT professionals and other stakeholders, across the organization.
Harness the power of ER diagrams: Discover how to leverage entity relationship diagrams for rapid and effective rule specification.
Developed clear, precise entity-relationship (ER) diagrams that capture and specify virtually any set of data-oriented business rules.
Master the art of precision: Dive deep into data-oriented business rules and unlock the key to accurate requirements analysis.
Future-proof your skill set: Stay ahead of the curve by mastering the foundational patterns of data-oriented business rules.
Transform your analysis toolkit: Equip yourself with the tools and techniques needed to excel in today's data-driven world.
… and much more

Who Should Attend?

Business analysts
Business systems analysts
Data modelers
BI requirements analysts
Data and enterprise architects
DBAs
Project managers
Developers and IT professionals
Subject matter experts and business professionals focused on data-oriented business rules and requirements

Prerequisites:

None. Inteq's Logical Data Modeling provides a comprehensive and cohesive approach data modeling and entity-relationship diagramming regardless of background and level of experience.

Logical Data Modeling integrates seamlessly with Inteq’s:

Advanced Data Modeling
Business Systems Analysis training course.

Learning Options:

Anytime eLearning™: Anytime | Anywhere | Any Device | Self-Paced
Live: Inteq’s Logical Data Modeling 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.

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 130 Page Course Manual
Case Study Materials
Supplemental Course Materials

Course Length:

The course is designed for two days, but Anytime eLearning™ allows self-paced learning.
Participants can revisit material to reinforce concepts.
The course must be completed within 45 days, with most participants finishing in 1-3 weeks.

Team Training

Bring Your Team Together For a Live High-Impact Shared Training Experience

Schedule a Free Consultation

2, 3, 4 and 5-Day
Customized Training Options

Why team training?

Anytime eLearning™
Start As Soon As Today!

eLearning + Live Coaching Anytime, Anywhere, Any Device
Self Paced | 16 Hours | 90-Day Access Continuing Education Credits: 16 IIBA PDUs | 1.6 ACCET CEUs Tuition: $495

Save 10% off the total tuition if 3 or more 16-hour eLearning courses are purchased together. The tuition savings is displayed in the cart and at checkout.

Questions or need additional info? Contact us at 800.719.4627 or reach out here We look forward to assisting you!

What is Anytime eLearning™?

What Our Clients Say

"Very well organized, thorough, appropriate amount of individual work, group work, and lecturing. I appreciated the extra time given to allow diagrams to sink in."

"Great online course that covered all the essential data patterns. The instructor was excellent...very polished, knowledgeable and thorough. The examples he used and the time he gave us to relate it to our industries was invaluable."

"The instructor interaction with the group was invaluable - to consistently ask for our day to day business examples to help relate the concepts from the course. Also found the custom or proprietary data modeling patterns helpful. Very insightful way to take a different approach to the 'by the book' criteria."

"Very well organized, thorough, appropriate amount of individual work, group work, and lecturing. I appreciated the extra time given to allow diagrams to sink in."