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:
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.
Data-oriented business rules
The business vocabulary
Business transactions vs. business intelligence
Rules vs. knowledge
E/R diagrams and data models
Business entity types
Attributes and meta-data
Cardinality and dependency
Principle relationships
Domain entity types
Associative relationships
Domain-based associations
Repeating groups
Transactional relationships
Super type / sub-type relationships
Recursive hierarchies
Recursive networks
Role-based associations
Time-dependent data
Tactical and strategic business questions
Business facts and dimensions
Analyzing cross-organizational facts
Dimensional modeling
Normalizing business data
Generalizing business entities
Analyzing meta-data for abstractions
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.
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
Scaling models to the enterprise level
Model transformation; conceptual > logical > physical
Using reference models to leverage analysis
Implementation considerations and best practices
Getting started
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:
OK, there is not a box per se - the content is digital. In addition to 2-days/16 hours of expert instruction you receive:
All Inteq training programs are available for team training > Onsite at your location or via Inteq’s live virtual classroom > 2, 3, 4 and 5-day hybrid and enterprise training options.
Credits: 16 IIBA PDUs | 1.6 ACCT CEUs
*Or call us at 800-719-4627 to talk with
a Training Coordinator.
"I conduct this course via open enrollment only 1x per year. Don’t miss this unique opportunity to connect and engage live with me via Inteq’s virtual classroom."
- James Proctor
James is the co-founder and Managing Director of Inteq, author of Mastering Business Chaos, and author of Inteq’s Business Analysis training series.
He has conducted Inteq’s high-performance BA training programs for tens of thousands of Business Analysts. IT Professionals, and SMEs worldwide.
"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."
"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."