16 – Decision Analysis

Decision analysis (often called ‘’DA’’) is a quantitative and systematic evaluation of the choices that need to be made. It supports decisions with technical reasoning and related evidence, as well as other elements like Management, training, economics, and physiological.

Technique's info

  • Level:  
Medium
  • Number of people:
1
  • Duration:
1h

Definition

Decision analysis (often called ‘’DA’’) is a quantitative and systematic evaluation of the choices that need to be made. It supports decisions with technical reasoning and related evidence, as well as other elements like Management, training, economics, and physiological.

Decision analysis examines and models the possible consequences of different decisions about a given problem.

Why use decision analysis?

 

  • DA helps you make the right decision.

  • It maintains the formality and professionalism in your process.

  • It is rapidly strengthening and complexifying as it can use more and more emerging analysis tools.

Decision Analysis Approaches

How to do Decision Analysis:

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  • tips and recommendations for use,
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Table of contents

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E.1 - Specify and modelling

39.2 – RACI Matrix

The RACI matrix is a tool that can be used to identify and visualize the roles and responsibilities of every member of a project or process. In addition, a RACI matrix allows you to map the activities, to visually determine “who does what”, and to define the size of the project as well as its scope.

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C.2 - Maintain the requirements

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A data flow diagram (DFD) is a graphical representation of the flow of data through a system. It is a modeling technique used in business analysis to represent the flow of information between processes, data stores, and external entities.

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E.1 - Specify and modelling

12 – Data Dictionary

In business analysis, the data dictionary method is a technique used to document and organize information about the data used in a business or organization. A data dictionary is a collection of information about the data elements used in a business, including their definitions, sources, and relationships to other data elements.

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