Data Modeling for Business Analysts

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SKU: DMBA Categories: , Tag:

Description

This one-day course covers the essential aspects of data or domain modeling required by Business Analysts involved in specifying business requirements or supporting agile teams.

This class will teach the fundamentals of data modeling to enable a business analyst to effectively elicit and organize the business information and rules for a software development project or COTS request for proposal.

Participants will learn a set of simple steps and questions, along with some visual diagramming aids that can be used with business subject-matter-experts to capture the essential information needed for the type of project.

These business analysis data modeling techniques and tips have been one of the areas that IAG has been known for.  This is not a theoretical course on relational data modeling. Participants come away with a clear understanding of precisely what they need to know and a practical approach to use with business SMEs to explain and define the data identified in the user stories, use cases, or process models they are working with.

Whether you are producing a conceptual or preliminary logical data model, or building a companion data dictionary or glossary for your project, this course will give you exactly the tools and answers you need.

Additional information

Domain

Business Analysis

Audience

Business Analysts, Business Architects

Credits Offered

7 PDUs/ CDUs

Delivery Method

In-class, Live Online

Duration

7 Hours (1-Day x 9am-5pm (EST))

Level

Intermediate

Public/Private

Public or Private

Vendor / Product Line

IAG

Course Outline

  • Data Modeling Fundamentals
    • Conceptual, Logical & Physical Models
    • Entity-Relationship Modeling
    • Multi-dimensional Modeling
  • Conceptual Data Modeling for Business Requirements
    • Discovering and Describing Entities and Attributes
    • Entity-Relationship Diagramming
    • Aligning with the Enterprise Data Definitions
  • Logical Data Modeling for Detailed Business Requirements
    • Data Attribution: Normalization theory explained and simplified
    • Extending the Data Dictionary
    • Entity Life-Cycle Analysis and State Diagramming
    • Verifying the Logical Data Model
    • Validating with the Enterprise Data Definitions

Learning Objectives

  • Understand the objectives and principles Data Modeling
  • Learn very practical business analysis techniques for data modeling
  • Understanding the differences between Conceptual, Logical & Physical Models
  • Learn how to apply the fundamental constructs of data modeling needed by a BA, including:
  • 1. the identification of entity types (concrete, reference, activity and agreement);
  • 2. how and why to easily define data relationships;
  • 3. metadata definition (description, optionality, cardinality, business rules, etc.);
  • 4. simplified data attribution techniques for BA’s that drastically simplifies normalization theory to just what a BA needs to know.

IAG Training Experience

Whether you are attending online or in person, in a public or a private in-house class, our courses are designed to provide an enjoyable, engaging and effective learning environment. Our instructors are all experienced practitioners and our courses all include demonstrations, examples, and exercises to make the content relevant and meaningful.

Participants receive a participant guide as well as access to our online class workspace for templates, handouts, samples and additional reference material.

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