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. Click here to see the course outline.

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.

What are the learning options?

Onsite Training: Onsite at your locations worldwide or via our live virtual classroom.

Advanced Data Modeling Training Course

Inteq's Advanced Data Modeling training course enables you and your team to move beyond unique localized (departmental, project, application specific) business rules to abstracting, extending, and generalizing the rules and requirements to support enterprise solutions.

Cross-enterprise analysis requires highly evolved critical thinking skills to understand the essence of business rules; and requires sophisticated judgment to discern and make essential distinctions to harmonize localized and enterprise rules.

Inteq's Advanced Data Modeling training course provides you and your team with:

The deep knowledge, critical thinking skills and experienced judgment to successfully identity, analyze and specify cross-enterprise data-oriented business rules and requirements.
Techniques and methods applicable across a wide range of initiatives from modernization of existing systems, development of new systems, configuration of vendor ERP solutions, and the mitigation of siloed data.
The skills to translate cross-enterprise rules and requirements into logical data structures at the right level of abstraction to enable flexible, extensible, robust solutions that adapt to changing rules and requirements.

This is not just a training course but a transformational experience that prepares you to become a trusted advisor for the challenges of tomorrow's business landscape. It's your toolkit and roadmap to master enterprise level data modeling.

Course Outline

Introduction And Foundation

Cross enterprise analysis

Model driven analysis

Baseline data patterns

Complex data patterns

Abstraction And 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

Learning Objectives | You Will Learn | Key Benefits

Uncover hidden insights: Learn to extract invaluable business rules through advanced logical data modeling techniques.
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-oriented business rules 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.
Master the art of abstracting and generalizing rules for cross-enterprise solutions.
Acquire critical thinking skills tailored for complex data-oriented business challenges.
Gain insider insights into logical data structuring for adaptable, enterprise-level solutions.
Acquire sophisticated judgment to discern localized versus enterprise-wide rules.
Discover the power of abstracting and generalizing data rules to thrive in cross-enterprise projects.
Master the art of translating complex business rules into logical data structures for robust solutions.
Gain insights from years of best practices across industries to enhance your data modeling expertise.
… and much more

Who Should Attend?

Business and systems analysts
Data modelers
Data architects and DBAs
BI requirements analysts
Project managers
Developers
IT professionals and subject matter experts focused on cross-enterprise data-oriented business rules and requirements

Prerequisites:

Inteq's Logical Data Modeling training course.

Learning Options:

Anytime eLearning™: Anytime | Anywhere | Any Device | Self-Paced
Live: Inteq’s Advanced 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.
Enterprise training for the entire organization.

What’s In the box?

OK, there is not a box per se - the content is digital. In addition to 2-days/16 hours of expert instruction you receive:

Digital Badge of Completion
Personalized Certificate of Completion
ACCET Continuing Education Units (CEUs)
IIBA Professional Development Units (PDUs)
Electronic (PDF) Comprehensive 110 Page Course Manual
Case Study Materials
Supplemental Course Materials

Course Length:

The course is designed for two days, but Anytime eLearning™ allows self-paced learning.
Participants can revisit material to reinforce concepts.
The course must be completed within 45 days, with most participants finishing in 1-3 weeks.