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Advanced Data Modeling Training Course

Engaging Cross-Enterprise Business Rules
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Business Process Modeling Training Courses
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Business Process Analysis and Modeling
Onsite Training
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Business Process Modeling Training Online
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Register and start our business process modeling training online as soon as today! Or, contact us for details at or 800.719.4627 to discuss your business analysis training objectives and how Inteq's Business Systems Analysis training can help you in achieving those objectives.
Business Analyst Process Modeling and Business Process Analysis

Advanced Data Modeling Training Overview

Inteq’s Advanced Data Modeling training course provides participants with the deep knowledge, critical thinking skills and experienced judgment to successfully engage cross-enterprise business rules and requirements.

The concept of “engaging” business rules and requirements transcends the three core concepts of analysis – identification, analysis and specification of business rules and requirements (all of which are essential building blocks of enterprise analysis). 

Inteq's Advanced Data Modeling training course enables participants to move beyond project specific rules and requirements to abstracting and generalizing the rules and requirements to enable cross-enterprise solutions.

This requires highly evolved critical thinking skills to understand the essence of business rules and requirements; and requires sophisticated judgment to discern and make essential distinctions between unique localized (departmental, project specific) rules and requirements and the requirements applicable across the enterprise.

“Engagement” requires the translation of the rules and requirements into logical data structures at the right level of abstractions to enable flexible, extensive, robust solutions that can rapidly adapt as business rules and requirements continually change.

Inteq’s Advanced Data Modeling training course is about business analysis to support enterprise business solutions - not about the nuances of a specific physical database design.

Advanced Data Modeling’s concepts apply across a wide range of initiatives from modernization of existing systems, development of new systems, implementation of vendor ERP solutions and business process reengineering.

The concepts in this course are based on years of best practices gleaned from the spectrum of industries and subject matter domains across commercial and public sectors. It’s your roadmap for engaging cross-enterprise business rules enabling enterprise-level solutions.

Transformative Training Designed for Busy IT & Business Professionals

In today’s fast moving, highly competitive, complex business environment organizations can no longer afford the costly mistakes, operational inefficiencies and lost opportunities that result from taking a myopic project level rather than a cross enterprise perspective.

Inteq’s Advanced Data Modeling training course transforms analysts into high-impact professionals; professionals that connect and engage with business people, uncover and rapidly assimilate deep business knowledge, and critically analyze and transform that knowledge into thorough, precise unambiguous business and user requirements.

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.

Advanced Data Modeling Training Course Outline

Introduction and Foundation
  • Cross enterprise analysis
  • Model driven analysis
  • Baseline data patterns
  • Complex data patterns
Abstraction & Generalization
  • Generalization of entity types
  • Transition from meta-data to data
  • Static vs. dynamic entity types
  • Data coupling and cohesion
Advanced Data Patterns
  • Advanced subtype variations
  • Multi-recursive networks
  • Conditional recursions
  • Rules-based entity types
  • State transition rules
  • Meta patterns
Enterprise Requirements Analysis
  • Analyzing meta-data for abstractions
  • Sequencing requirements analysis
  • Developing cohesive subject areas
  • Developing model flexibility 
Case Study
Participants analyze a complex business case and create a detailed logical data model utilizing a variety of advanced patterns and analysis techniques. This session provides invaluable hands-on experience in applying the techniques to enable participants to immediately apply the techniques effectively within their own organization.
Best Practices and Practical Tips
  • Conceptual v. logical data model
  • Logical to physical transformation
  • Business rule discovery techniques
  • Enterprise reference models
  • Putting the concepts into practice
Who Should Attend?
Inteq's Advanced Data Modeling training course is designed for Business and Systems Analysts, Data Modelers, Data Architects and DBAs, BI Requirements Analysts, Project Managers, Developers, and IT Professionals and Subject Matter Experts focused on cross-enterprise data-oriented business rules and requirements
Inteq's Logical Data Modeling training course. 
Learning Options:
Anytime eLearning™: Anytime | Anywhere | Any Device | Self-Paced

Onsite Training: Onsite at your locations worldwide or via our live virtual classroom | Contact us for details.
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?
In addition to the world-class training, participants also receive a comprehensive course workbook - which is yours to keep, supplemental materials, a personalized Certificate of Completion and CEU (continuing education unit) credits.

Key Data Modeling Techniques that You Will Learn:

  • Data patterns that enable you to quickly recognize and accurately analyze complex cross-enterprise data oriented business rules and validate complex requirements.
  • Generalization and abstraction techniques that enable flexible data structures that adapt to rapidly changing business rules and business requirements.
  • To review and validate enterprise data models using a comprehensive and effective data model quality assurance approach.
  • Best practice approaches to standardizing modeling components, meta-data and naming conventions across the enterprise.
  • To identify and analyze the impact of normalization anomalies.
  • To analyze the impact of data model abstraction on physical database design and systems development approaches.
  • ... 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 onsite at your locations worldwide or via our live virtual classroom.

Register and start training as soon as today! Or, contact us for details at or 800.719.4627 to discuss your business analysis training objectives and how Inteq's Business Systems Analysis training can help you in achieving those objectives.
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Business Process Modeling Training Courses

White Paper: The Top 10 Business Intelligence (BI) Requirements Analysis Questions

From our Clients and Training Program Participants Worldwide

This in-depth 8-page whitepaper includes:

  • What is the difference between Big Data and BI?
  • What is the difference between a business requirement and a functional requirement?
  • What is the difference between a transactional business requirement and a BI business requirement?
  • What is the difference a tactical BI requirement and a strategic BI requirement?
  • What is the impact of BI requirements on BPM (Business Process Management)?
  • How are conceptual BI Business Requirements different from physical BI Business Requirements?
  • What is the difference among a Dimensional Model, Business Data Model and Star Schema?
  • Is ETL a business process or a technical process?
  • How do I identify, analyze and define BI business requirements?
  • Can I specify BI functional requirements via the use case format?
Download the Whitepaper as a PDF