
Course OverviewIntroduction and FoundationEstablishes essential data-oriented concepts, clarifies business vocabulary, distinguishes transactional and analytical needs, and introduces E/R diagrams as the foundation for accurate logical data modeling
Framework for E/R DiagrammingExplains core E/R components - entity types, attributes, cardinality, dependencies, and foundational relationships - to build consistent, business-oriented data models. Diagramming Baseline Rules and PatternsCovers domain entities, associative and domain-based relationships, repeating groups, and transactional patterns to create accurate baseline E/R structures. Diagramming Complex Rules and PatternsAddresses enhanced modeling patterns including super/sub-types, recursive hierarchies and networks, role-based associations, and time-dependent data structures. Case StudyWork on a complex real-world case that provides an invaluable template that you and your team can leverage to develop professional level logical data models in your organization. BI and Analytic RequirementsDefine tactical and strategic questions, clarify reporting needs, identify facts and dimensions, and apply dimensional modeling techniques. Business Rule GeneralizationFocuses on normalizing data, generalizing entities, and analyzing metadata to identify abstractions that simplify and strengthen enterprise-level data models. Practical Guidance & Best PracticesProvides guidance on scaling models enterprise-wide, transforming conceptual to physical designs, leveraging reference models, and applying implementation best practices. |
Participants learn how to identify business entities, attributes and relationships; distinguish transactional and analytical requirements; and organize data in ways that scale across enterprise systems. Through hands-on practice with Entity Relationship (ER) diagrams, you and your team develop accurate, extensible logical data models that support application development, reporting, and BI/analytics. Explore enhanced data patterns - such as super/sub-types, recursive structures, and time-dependent data - as well as practical guidance for model transformation, normalization, and enterprise-level consistency. The result is stronger collaboration, smarter system design, and data structures that evolve with the business.
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Whether enhancing individual skills or aligning a team, this course builds modeling expertise for reliable, scalable data.
The result: clearer data definitions, stronger system foundations, and more confident decision-making across your organization.
Inteq’s approach combines real-world consulting experience with structured modeling frameworks - ensuring the skills you gain are immediately applicable.
This is not just skill acquisition — it is structured capability development grounded in decades of enterprise delivery experience.
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