Logical Data Modeling is an essential component of professional business analysis. Logical data modeling is often mistaken for database design. However, logical data modeling is the foundation for excellence in business analysis, business systems analysis and business intelligence requirements analysis.
Inteq’s Logical Data Modeling training course provides the basis for understanding the complex moving parts of an organization—its data-oriented business rules—the foundation for precision and agility in requirements analysis.
Business terminology embodies an organization’s business concepts, rules and underlying relationships. These concepts, rules and relationships form a body of knowledge called “dataoriented business rules.”
In most organizations, data-oriented business rules live as tribal knowledge, informally, in the minds of the people doing the essential day-to-day work of the organization
However, these informal rules unofficially govern how organizations operate and how decisions are made. These rules are surprisingly vague and ambiguous; they are rarely subject to critical analysis. Yet, these rules are the basis for articulating business system requirements that are equally vague and ambiguous.
Vague and ambiguous requirements result in costly, inflexible and maintenance-intensive information systems; systems, that even after significant investment, still do not deliver the necessary functionality. That’s truly unfortunate because there is a clear path to getting the requirements right.
Based on decades of experience, Inteq has uncovered and refined the foundational patterns of data-oriented business rules. Participants in Inteq’s Logical Data Modeling training course utilize these patterns to rapidly discover, critically analyze and precisely specify data-oriented business rules via entity relationship (ER) diagrams.
