Airport Business Analytics

Professional Certificate Course
Delivery: Classroom
Duration: 3 days

he modern airport operator, which has been propelled into a dynamic and competitive landscape, has moved away from being a mere infrastructure provider to a diversified and complex business that operates strategically within the air transport value chain. Consequently, an understanding of economic performance based on statistical and analytical tools as well as robust performance indicators provides valuable business intelligence to decision makers and other stakeholders.

The objective of this course is to introduce participants to some of the essential tools and techniques used to support data-driven decision making in organizations with applications to the airport industry. Seminar themes include predictive analytics based on regression techniques, airport financial analysis through a battery of key performance indicators as well as the rudiments of air transport demand forecasting.

Participants are requested to bring laptops and/or share along with other course participants.

Who should attend?

  • Airport Analysts, Statisticians and Economists  
  • Airport Finance Directors and Managers
  • Airport Marketing and Commercial Managers
  • Airport Operations Directors and Managers
  • Airport Consultants and related professionals
  • Civil Aviation Authority Officials
  • World Business Partners and other aviation experts 

Learning objectives
Upon completing this course, participants will be able to:

  • Understand basic statistical nomenclature related to airports and air transport demand;
  • Apply analytical techniques  - descriptive statistics, correlations, regression analysis and interpret the results;
  • Apply analytical techniques using computer-based applications;
  • Develop an understanding of Key Performance Indicators based on financial data to measure business performance;
  • Apply standard traffic forecasting tools in Microsoft Excel.

Course content

Day 1:

  • Airport statistical nomenclature and concepts for international comparability;
  • Getting to know your data with descriptive statistics;
  • Empirical applications in economic theory: correlation versus causation;
  • Building up and interpreting the classical regression model;
  • Interpreting elasticities and other econometric applications;
  • Global analysis of air transport demand.

Day 2:

  • Measuring business performance: Internal versus external benchmarking;
  • Deconstructing the income statement and balance sheet;
  • Developing and interpreting key performance indicators from economic and financial data;
  • Computing weighted average cost of capital;
  • Analysing revenue, cost and profitability indicators in with predictive analytics;
  • Global analysis of the economic and financial characteristics of the airport industry.

Day 3:

  • Deconstructing the elements of air transport demand;
  • Measuring seasonality and deseasonalizing time series data;
  • Airport traffic forecasting methods for the short medium and long term.

Upcoming Sessions

11–13 December 2017  Athens, GreeceUS$975US$1,450FULL