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Business Data Modelling

Trainingsformate für diesen Kurs:

  • e-Training
    Nächster Termin : Kurs wird in diesem Trainingsformat nicht angeboten
  • Präsenzseminar
    Nächster Termin : Kurs wird in diesem Trainingsformat nicht angeboten
  • Inhouse
    Nächster Termin : Inhouse


Trainingsformate PDUs Gesamt Technisch Leadership Strategie PMI RMP PMI SP PMI ACP PfMP PMI PBA
Präsenzseminar 21 21 0 0 0 0 0 0 21
Trainingsformate Präsenzseminar
PDUs Gesamt 21
Technisch 21
Leadership 0
Strategie 0
PfMP 0

The Business Data Modelling course explores business rules, policies and procedures and how they can be modeled effectively. Participants will learn entity relationship diagramming, super and sub-types, attributive and associative entities and documenting data constraints. The course's logical data modelling approaches focus on the important requirements of the business that are discovered through significant user involvement during the analysis phase. Delegates will also learn how to create models without being limited by technology or organisational structure.

The ability to communicate the intersection of business processes and information/data needs is key to the success of any software development project. Understanding and explaining user needs is a major challenge and opportunity for the business analyst. The business analyst who understands structured modelling has a distinct advantage in addressing and communicating requirements. And the use of models can greatly increase all stakeholders’ understanding of the relevancy of business rules and data management requirements to the project at hand.

Reminder: Prior to taking this course, we recommend that delegates have acquired the background as taught in Eliciting and Managing Requirements.

This course is aligned with version 3.0 of A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide)™. 

In diesem Kurs lernen Sie
  • Explain how a lack of effective data analysis and usage can affect the risk exposure, cost control, and profitability of your organisation
  • Explain the role of the business analyst in gathering data-related requirements from stakeholders
  • Create, communicate and validate conceptual data models with your business stakeholders
  • Create normalised logical data models as a hand-off to solution delivery
  • Applying Logical Data Models

    Associative entities

    Data constraints

    Using logical data models

    Analysis of organisational and geographical data distribution

    Supporting the organisational data standards

    Software acquisition

  • Business Data and Governance

    Data Governance

    Data Management Functions

    Data Governance vs. IT Governance

    Data Management Roles

    Business Analysis and Data Management

    The Value of Data to the Organisation

    Data Management  and Risk

    Data, Costs, and Revenue

    Data Quality

  • Business Data Modelling Workshop

    Put what has been learned into practice

  • Conceptual Data Models

    System development challenges

    Data requirements

    Models and modelling

    Data, information and knowledge

  • Data Normalisation

    Normalisation and forms

    The physical data model

    Reverse engineering

    The database designer


  • Data Relationships

    Naming standards for relationships

    Relationship cardinalities

    Relationships affected by time

    Modeling time-dependent data

    The importance of definitions

    Alternative notations

  • Logical Data Models

    Entity types


    Attributive entities and multi-valued attributes


  • Verifying and Validating Data Models

    Internal verification

    Presenting data diagrams

    Dos and don'ts of presenting data diagrams

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