Program Outline
Instructor Led Live Training
Learning Options:
Traditional Classroom Training (2-days) Virtual Classroom eLearning (4-sessions)
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 Core Rules and Patterns • Domain entity types • Associative relationships • Domain-based associations • Role-based relationships • Transactional relationships • Time-dependent data
Diagramming Complex Rules and Patterns • Recursive hierarchies • Recursive networks • Multi-recursive relationships • Super type/sub-type relationships • Modeling state transition
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
Practical Guidance • Scaling models to the enterprise level • Model transformation; conceptual, logical, physical • Using reference models to leverage analysis Implementation considerations and best practices • Getting started Monday morning
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Business Data Modeling
Mapping & Analyzing Data-Oriented Business Rules
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Program Overview
Data modeling is a core business analysis technique, often mistaken for database design. In fact, it’s the foundation for excellence in business analysis, business systems analysis and business intelligence requirements analysis. Inteq’s Business Data Modeling provides the basis for understanding the complex moving parts of an organization; its data-oriented business rules.
Business terminology embodies an organization’s business concepts, rules and underlying relationships. These concepts, rules and relationships form a body of knowledge called “data-oriented 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 all that 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 Business Data Modeling utilize these patterns to rapidly discover, critically analyze and precisely specify data-oriented business rules via entity relationship (ER) diagrams.
Business Data Modeling results in the specification of data-oriented business rules that: • Scale to support the enterprise. Requirements are often more complex than they initially appear at the departmental or business unit level when they are scaled to the enterprise level. • Withstand the test of time. Requirements need to transcend specific project solutions so that they can seamlessly adapt to future requirements as the organization evolves. • Support business intelligence. Requirements must be thorough and accurate to enable effective tactical and strategic decisions.
Incomplete, incorrect, missing data-oriented business rules results in: • Systems that rapidly become obsolete and ineffective. • Non-productive time spent on “work-arounds” to compensate for lack of functionality. • Business processes that are cumbersome and inflexible.
Inteq training has emerged as the gold standard for professional business systems analysis training - and are simply the most effective training programs available in the industry. Inteq training is more than education; its transformation - for the participants, project teams and their organizations.
That’s why over 300,000 business systems analysis professionals worldwide choose Inteq training programs.
Who Should Attend?
Business and Systems Analysts, BI Requirements Analysts, Data Modelers, 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. This program provides a comprehensive, cohesive approach to discovering, analyzing and specifying data-oriented business rules and requirements, regardless of your background and experience.
Learning Options:
• Two-day traditional classroom training • Four-session virutal classroom eLearning
All learning options are instructor lead and conducted live. This course is avialable via open enrollment and on-site at your location.
You will learn:
• Critical thinking skills to cut though superficial and ambiguous discussions to distill core business concepts. • To 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. • To create a precise, common vocabulary that is consistent among business end- users, analysts, IT professionals and other stakeholders, across the organization. • To developed clear, precise entity-relationship (ER) diagrams that capture and specify virtually any set of data-oriented business rules.
Program participants receive a comprehensive course workbook, supplemental materials, and a personalized Certificate of Completion indicating CEU (continuing education unit) credits awarded.
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Inteq training programs are available via open enrolment at scheduled dates/ locations across the U.S and London and on-site at your locations – worldwide.
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Contact us: info@inteqgroup.com 800.719.4627 www.inteqgroup.com
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