Data Driven Decision Making

In-Person/Online

3 Days

English/Arabic

Learning Objectives

   Use data analysis techniques and tools.
   Break down complex problems and situations into smaller, manageable components.
   Visualize data.
   Evaluate and makes decisions in accordance with data analysis.
   Demonstrate knowledge of the benefits and risks of a chosen decision by setting up or recommending plans to mitigate or strengthen decisions.
   Implement data-driven decision-making project.

In-Person/Online

3 Days

English/Arabic

Learning Objectives

   Use data analysis techniques and tools.
   Break down complex problems and situations into smaller, manageable components.
   Visualize data.
   Evaluate and makes decisions in accordance with data analysis.
   Demonstrate knowledge of the benefits and risks of a chosen decision by setting up or recommending plans to mitigate or strengthen decisions.
   Implement data-driven decision-making project.

Modules

Module 1: Introduction

  • Understand the context
  • Win-Win decisions
  • Problem-solving model overview
  • Decision making process

Module 2: Information Gathering

  • Types of information
  • Methods of gathering information
  • Key questions to ask
  • Data interpretation
  • Bad data

Module 3: Defining the Problem/Situation Analysis

  • Developing a problem statement

Module 4: Impact of Data Analysis and Visualization

  • Distinguishing between symptoms and causes
  • Fishbone diagram / “Ishikawa Diagram”
  • Possible causes – interrelationship diagrams

Module 5: Data Driven Process Improvement

Module 6: Data Focused Vs Outcome Driven

Module 7: Create Alternative Solutions

  • The Thinking mechanism, group thinking, brainstorming, brainwriting, affinity diagrams, the six thinking hats, the wheel of multiple perspectives, concept fans, and nominal grouping

Module 8: Enhanced Decision-Making Strategy

Module 9: Evaluating Options and Decision Making

  • Deciding how to decide
  • Grid analysis (weighted work sheet)
  • The decision Matrix
  • Paired comparison analysis
  • The morphological Matrix
  • Force field analysis

Module 10: Planning, Implementation, Monitoring and Evaluating

Module 11: Data-Driven Decision-Making Project

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