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COMPLETE COURSE
INFORMATION
10 Reasons to attend Inteq Training Programs
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FREQUENTLY ASKED QUESTIONS
Q: How do I schedule an on-site training program?
A: All Inteq training programs are available on-site at your location. On-site training enables us to tailor the delivery of the program to the unique need and requirements of your organization. Contact us for details.
Q: How are the programs priced?
A: On-site training is cost effective with as few a 6 participants. The pricing is tiered, based on the confirmed number of participants, up to 24 participants. Contact us for a quote.
Q. Do you offer custom programs?
A: Yes. We can create custom configurations across our existing programs, integrate hands-on mentoring, etc., to meet your special and unique training requirements.
Q. Do you offer open enrollment scheduled programs?
A: Inteq training is designed for corporate on-site training. If you have less than 6 participants, consider combining your participants with other organizations in your area. We can help. Contact us for details.
Q. Who will be our instructor?
A: All Inteq instructors are first and foremost real-world hands-on practitioners of the subject matter. Our instructors are highly experienced professionals that also have excellent teaching and communication skills. (Also see "8 Reasons to Schedule an Inteq Training Program")
Q: How do I get more info?
A: Please contact us at 800.719.4627 or email us a info@inteqgroup.com or send us your questions via the comment box on this page.
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Business Data Modeling –
Identifying, Analyzing and Defining Business
Concepts, Rules & Relationships
An Intensive 2-Day Instructor Led Training Program
This program is designed for business & systems analysts,
project managers & leads, data modelers, architects and
DBAs, application, BI & ETL developers, business end users
& managers and anyone interested in acquiring and applying
key business and systems analysis skills.
Program Description
The foundation of business and systems analysis is to
identify, clearly define and thoroughly analyze your
organization’s core and unique business concepts such as
Order, Customer, Product, etc; the business rules governing
how these concepts relate one to the other; and the business
and user requirements for managing these concepts in dayto-
day business operations. Collectively, this body of
knowledge is referred to as the Business Data Model.
Participants in this intensive 2-day instructor led program
learn to recognize and utilize 10 key data patterns that are
the building blocks of the Business Data Model. The patterns
enable participants to rapidly identify, define and thoroughly
analyze virtually any set business concepts, underlying
business rules and related business and user requirements.
Participants learn to create E/R diagrams. An E/R diagram is
a clear, concise, unambiguous visual illustration of the
business concepts represented in the business data model.
An E/R diagram ensures consistent understanding among
business end users, analysts, developers, etc. of the
business concepts and related business rules – enabling
rapid validation and refinement of the underlying concepts,
rules and requirements
The Business Data Model provides a stable foundation for
analyzing and validating business concepts in connection
with business process analysis, business systems
requirements analysis and BI requirements analysis.
You will learn:
• The 10 data patterns that enable you to rapidly identify,
define and analyze the key business concepts and
underlying business rules supporting your organization.
• To utilize entity-relationship (E/R) diagramming to visually
communicate and validate the key concepts and rules.
• How to utilize data modeling techniques to analyze and
improve business processes.
• Analysis techniques to enable you to accurately specify
business and user functional requirements, reporting
requirements and key performance metrics.
• To quickly and accurately scope business systems
analysis and system development projects
Our intensive 2-day instructor led classroom format and integrated
curriculum is the most effective, practical and convenient approach
to acquire and integrate the skills and knowledge into your
work environment.
Program Format
This program comprises best practices, supporting
techniques and practical knowledge gleaned from the
experience of numerous real-world projects.
It includes practical application of model driven analysis
techniques followed by carefully crafted exercises and case
studies designed to reinforce the techniques and enhance
participant skills.
Program Outline (1.5 CEU credits)
Introduction and Key Concepts
• Model driven analysis
• Data vs. process oriented business rules
• Entity/relationship (E/R) diagrams concepts
Business & Relational Data Concepts
• Entity types and attributes
• Meta-data and supporting Information
• Relationships and cardinality
• Primary and foreign keys
• E/R diagramming skills
Base Data Patterns
• Entity dependency
• Domain entity types
• Associative relationships
• Domain based associations
• Transactional relationships
Complex Data Patterns
• Super type/sub-type relationships
• Recursive hierarchies
• Recursive networks
• Role-based relationships
• Time-dependent data
Putting it all together - Participants work in small groups
to analyze a complex business case and create a
sophisticated E/R diagram. This session provides
participants with invaluable hands-on experience - enabling
participants to immediately apply the techniques effectively
within their own organization.
Best Practices and Practical Tips
• Critical success factors
• Business intelligence considerations
• Data normalization concepts
• Logical to physical transformation considerations
• Discovery techniques and validating the model
The Business Data Modeling training program is part of
Inteq’s integrated Business Analysis Series (which also
includes Business Process Management, Business Systems
Requirements, Business Intelligence Requirements, and
Advanced Data Modeling) is based on Inteq’s MoDA™
Framework* – the rapidly emerging worldwide standard for
business and systems analysis.
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*Model Driven Analysis Framework
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