This course aims to equip aviation professionals with the practical knowledge and skills to apply data-driven decision making (D3M) throughout the complete decision cycle, from defining a problem and working with aviation data to analysing results, making and communicating decisions, and monitoring outcomes. The course supports the development and use of safety intelligence by combining evidence and analysis with professional judgement, operational experience, and an understanding of system complexity.

Course Description

This comprehensive ten (10)-hour self-paced online course introduces aviation professionals to the principles and practical application of Safety Intelligence in Data-Driven Decision Making (SI-D3M). It explains how raw aviation data can be transformed into usable information and evidence to support informed decisions while recognizing that data alone is not sufficient.

The course follows the complete D3M cycle: defining the decision problem; identifying, collecting, managing, and sharing aviation data; analysing, interpreting, and validating results; translating findings into decisions and actions; communicating findings; and monitoring outcomes. The approach follows the data-driven decision making (D3M) process described in the Safety Intelligence Manual (Doc 10159) and supported by Annex 19 – Safety Management.

Across five (5) modules, participants work through aviation examples and a continuing dual case study that presents perspectives from both State oversight and industry operations. 

Upon completion of the course, the participants should be able to:

• Explain why data-driven decision making is important in aviation and recognize why data alone is not sufficient for effective decisions.
• Define a decision problem and identify the data required to support informed decision-making.
• Identify, collect, manage, and share aviation data while considering data usability and governance.
• Select appropriate analytical approaches and interpret and validate results while recognizing the limitations of analysis.
• Translate analytical findings into informed decisions and actions and communicate them effectively to relevant stakeholders.
• Monitor decision outcomes and use resulting data to support continuous improvement and future decision cycles.
• Apply the D3M cycle within ICAO’s safety intelligence framework and broader organizational decision-making contexts.

Course Structure

• Course Introduction
• Module 1 - Data-Driven Decision Making Matters 
• Module 2 - From Data Sources to Usable Data 
• Module 3 - Analysis and Interpretation 
• Module 4 - From Insight to Decision and Action 
• Module 5 - Connecting Safety Intelligence to Organizational Decisions
• Final Exam

Primary target audience: 

• Personnel from CAAs involved in safety oversight, safety intelligence, data analysis, or decision-making

• Personnel from airlines, airports, air navigation service providers (ANSPs), and maintenance organizations involved in safety, operational, or resource-related decision-making

Secondary target audience: 

• Any aviation professional seeking to strengthen their understanding and practical application of data-driven decision making

Certificate

The Final Exam consists of 30 multiple-choice questions. The participant requires a grade of 80% to pass. Note that the participant will be granted 3 attempts only. Upon successfully completing the exam, the participant will receive ICAO’s e-Certificate.