Anytime, Anywhere, Any Device.
Self Paced. 45-Day Access
Anytime, Anywhere, Any Device.
Self Paced. 45-Day Access
*Or call us at 800-719-4627 to talk with
a Training Coordinator.
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.
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.
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.
"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."
Business analysis from an enterprise 360° perspective
Defining customer and business value
Business change drivers
Agile business analysis
What is a business case?
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
Analysis from an agile perspective
Goals vs. strategies vs. tactics
Measurement, metrics and indicators
Gap & Root Cause Analysis | Scenario Analysis | Risk Analysis | Cost Analysis
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
Deep versus superficial analysis
Sources of business knowledge
Essential facilitation skills
Managing difficult personalities and situations
Teams and team building
Communication skills
Active Listening skills
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.
Establishing and maintaining credibility
Trending topics
Take-home templates
Getting started
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™.
