DATA MODELLING FOR BUSINESS ANALYSTS

Business rules are a fundamental aspect of the requirements which Business Analysts need to capture and understand. Many business rules are intrinsically bound up with the structure of data, and a clear understanding of the business data enables the building of more flexible and maintainable systems.

When analysing business requirements, therefore, an understanding of the implications of the way in which data is structured is essential to an appreciation of the freedoms and constraints of current infrastructure, whilst investigating fully the business rules. Data modelling is therefore an essential skill for the Business Analyst.
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Course Content

Introduction to Data Modelling
Concepts and objectives of data modelling in business analysis
Approaches to data analysis
Class Models and Entity Relationship Diagram
Identifying Data Groups
Notations and conventions
How to identify data groups
Sub types and super types
Identifying Attributes
Data attributes
Identifiers
Drawing the Data Model
Steps for model creation
Validating the model against requirements
Identifying Relationships
How to identify data relationships
Degrees of relationship
Resolving relationships
Exclusivity, recursion
Validating the data model
Relational Data Analysis
Notation and convention
Relations and domains
Types of data identifiers
Process navigation
Normalising data
Rationalising results
Validating the Data Model
Validation of models
Volumetrics

Practical Work

Interactive tutor-led sessions examine the problem domain and identify steps to analyse data both "top down" and "bottom up". Explore both worked examples and data sources from real life to give extensive, workshop-based experience of analysing data in a real world situation.
Data Modelling
Data Modelling for Business Analysts

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