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Anytime eLearning™ Special Tuition Pricing Ending 12/31/2022

Business Analyst Course Series

Logical Data Modeling: Mapping & Analyzing Data-Oriented Business Rules | IIBA Endorsed

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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 “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, ambiguous, incomplete, incorrect, inflexible, missing business rules result in:

• Systems that are ridged and 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.
• 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.

Inteq's Logical Data Modeling results in the specification of data-oriented business rules that:

• Are thorough, clear and accurate. Data-oriented business rules that fully support business and user requirements.
• Scale to support the enterprise. Data-oriented business rules are often more complex at the enterprise level than they initially appear at the departmental or business unit level.
• Enable organizational agility. Rules that can adapt and evolve over time. Data-oriented business rules that transcend specific project solutions to seamlessly adapt to future requirements as the organization evolves.
• Support business intelligence. Data-oriented business rules must be thorough and accurate to enable effective tactical and strategic decisions.

Download a PDF of Course Overview and Outline

Business and IT Professionals Worldwide Choose Inteq's Training


Inteq's Logical Data Modeling training course has emerged as the gold standard for professional-level logical data modeling training - and are simply the most effective logical data modeling training course available in the industry.
 
Inteq's Logical Data Modeling training course is more than education; it's transformation - for the participants, project teams and their organizations. 

That’s why over 300,000 business and IT professionals worldwide choose Inteq's business analysis training courses - Including Inteq's Logical Data Modeling training course.

Logical Data Modeling Training 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
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
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.
  • 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 is an excellent precursor and integrates seamlessly with Inteq’s Advanced Data Modeling training course and is an excellent companion course with Inteq's Business Systems Analysis training course. 
Learning Options:

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.  

Anytime eLearning™: Anytime, Anywhere, Any Device. Self Paced. 45-Day Access. 

Course Length:
The course is designed for two full days of training. However, Anytime eLearning™ participants can learn at their own pace and on their own schedule.

Participants can go back and review the material at their own pace and time schedule to reinforce and further internalize the concepts.

Anytime eLearning™ participants have 45-days to complete the course and most participants typically complete the training over 1-3 weeks.
What’s included?
  • World-class training
  • Digital badge of completion
  • Personalized certificate of completion
  • Continuing Education Units (CEUs)
  • IIBA Professional Development Units (PDUs)
  • Electronic comprehensive course manual
  • Supplemental course materials
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 is an excellent precursor and integrates seamlessly with Inteq’s Advanced Data Modeling training course and is an excellent companion course with Inteq's Business Systems Analysis training course. 
Learning Options:

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.  

Anytime eLearning™: Anytime, Anywhere, Any Device. Self Paced. 45-Day Access. 

Course Length:
The course is designed for two full days of training. However, Anytime eLearning™ participants can learn at their own pace and on their own schedule.

Participants can go back and review the material at their own pace and time schedule to reinforce and further internalize the concepts.

Anytime eLearning™ participants have 45-days to complete the course and most participants typically complete the training over 1-3 weeks.

"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."

Course outline

Introduction and Foundation

Business analysis from an enterprise 360° perspective

Defining customer and business value

Business change drivers

Agile business analysis

What is a business case?

Framework for Business Analysis

Business functions, processes and work activities

Business requirements vs. business systems requirements

Stakeholder and SME analysis

Business value drivers and constraint

The 5 essential business analysis questions

Analyzing Business Problems & Opportunities

Analysis from an agile perspective

Goals vs. strategies vs. tactics

Measurement, metrics and indicators

Gap & Root Cause Analysis | Scenario Analysis | Risk Analysis | Cost Analysis

Developing Business Cases

Business case format and components

Anchoring business cases with user stories

Iterative evolution of business cases

Validating and refining business cases

Grooming the case backlog

Presenting business cases

Eliciting Business Knowledge

Deep versus superficial analysis

Sources of business knowledge

Essential facilitation skills

Essential Professional Skills

Managing difficult personalities and situations

Teams and team building

Communication skills

Active Listening skills

Case Study – Developing a Business Case

Participants analyze a business problem, identifying alternative solutions and develop a business case in connection with a real world business process decision that impacts people, systems and workflows. This case study provides an invaluable template that participants can leverage in their organization.

Practical Guidance

Establishing and maintaining credibility

Trending topics

Take-home templates

Getting started

Logical Data Modeling Badge Final

What's Included

  • Digital Badge of Completion
  • Personalized Certificate of Completion
  • Continuing Education Units (CEUs)
  • IIBA Professional Development Units (PDUs)
  • Electronic Comprehensive Course Manual
  • Supplemental Course Materials
Download a PDF of Course Overview and Outline
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Key Data Modeling Techniques that You Will Learn:

  • Critical thinking skills to cut through 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.
  • ... and much more

What is the Next Step?

Inteq's business and systems analysis training courses are available via Anytime eLearning™ and private group training on-site at your locations worldwide or via our virtual on-site live training.

Register and start training as soon as today! Or, contact us for details at info@inteqgroup.com or 800.719.4627 to discuss your training objectives and how Inteq's training programs can help you in achieving those objectives.
Register for Anytime eLearning

What is the Next Step?

Inteq courses are available for Enterprise Training, Team Training and Individual & Small Group training – via live virtual or live onsite training and self-paced via Anytime eLearning™.

Please contact us and let’s start a conversation to discuss your training objectives in more detail.

Providing multiple options for your professional development

Logical Data Modeling Training
Anytime eLearning™
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Logical Data Modeling Certification
Virtual On-site
Training (Live)
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Logical Data Modeling Training Courses
Traditional On-site
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Register and start our logical data modeling training online as soon as today! Or, contact us for details at info@inteqgroup.com or 800.719.4627 to discuss your data modeling training objectives and how Inteq's Data Modeling training can help you in achieving those objectives.

Providing multiple options for your professional development

Individual-Training
Individual
Training
more information
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Team
Training
more information
enterprise-training-icon
Enterprise
Training
more information
Register and start training as soon as today! Or, contact us for details at info@inteqgroup.com or 800.719.4627 to discuss your business analysis training objectives and how Inteq's Data Modeling training can help you in achieving those objectives.