Using Data Modeling Techniques

Global Wizdom is recognized by SHRM to offer Professional Development Credits (PDCs) for SHRM-CP or SHRM-SCP. This program is valid for 1 PDC for the SHRM-CP or SHRM-SCP.

Key Take-Away:
By attending this webinar you learn
•  How logical data models relate to requirements
•  Identifying entities and attributes
•  Determining relationships and business rules
•  Data integrity through normalization

Overview:
As part of their enterprise analysis and project support activities, a successful business analyst needs to accurately elicit, define, and document user requirements.

Understanding the concepts and knowing the tools/techniques is critical to being able to convey requirements in a way that can easily be understood and validated.

Why Should You Attend:
Attending this Webinar, you learn how to model requirements to communicate effectively with stakeholders to allow them to review and approve requirements. This allows you to work directly with business users to accurately define requirements.

Areas Covered in the Session:
•  Importance of logical data modeling in requirements
•  Relationship between the logical and physical data model
•  Functional decomposition diagrams
•  Data flow diagrams
•  Use case models
•  Workflow models
•  Business rules
•  State diagrams
•  Class diagrams
•  Conceptual Data Modeling
•  Identifying attributes and relationships
•  Normalize a logical data model

Speaker: Daniel Fay
Daniel Fay is Managing Director for Bren Daniel Productions Corp. Dan provides organizations around the world with a framework for business management and executive excellence. Dan has conducted programs in business management, business analysis, project management methodologies, and leadership principles.

Tags: Accurately define business requirements, Business techniques, Class diagrams, Conceptual Data Modeling, Daniel Fay, Data integrity through normalization, Data Modelling, Data Modelling Techniques, Data Models, Determining relationships and business rules, Enterprise analysis, Functional decomposition diagrams, Identifying entities and attributes, Importance of logical data modeling in requirements, Normalize a logical data model, SHRM, State diagrams, Use case models, Workflow models