Summary of required data for revenue forecasting and potential data sources available at the Bureau of Corporate Planning of PT Garuda Indonesia : final report to PT Garuda Indonesia
Author(s)Clarke, Michael D. D.; Wickham, Richard Robert.
Massachusetts Institute of Technology. Flight Transportation Laboratory
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Introduction: One of the most important strategic planning capabilities for an airline is the development of a good working understanding of the markets it serves in its network. These capabilities will include extensive market share and trend analysis, route development and expansion analysis, and long-term fleet planning, just to name a few topics. The bureau of Corporate Planning at Garuda has identified the need to significantly improve its analytical abilities in the area of traffic forecasting, in order give Garuda an effective advantage in the increasingly competitive airline industry within Indonesia and in South East Asia. In an effort to establish a comprehensive set of computer databases for passenger traffic forecasting at Garuda, a team of researchers from the MIT Flight Transportation Laboratory and Garuda personnel from the bureau of Corporate Planning (DQ) has started the process of collecting data from several sources both within the Garuda airline organization, and also external entities to the company. At present, the initial database includes limited information from the Indonesian Airport Authorities, the Tourism Ministry, the OAA Orient Airline Association , the ICAO International Civil Aviation Organization, IATA International Air Transport Association, and Garuda's Information Systems (DX). The following list outlines the desirable data for passenger revenue and demand forecasting at Garuda. It incorporates data sources currently available in Corporate Planning, as well as sources that have been identified as being necessary for the successful development of robust demand and traffic forecasting methodologies at Garuda. The current status and progress in the data collection is then given, for each individual data source. Further action items are identified, and recommendations are made for future activity in the research program.
October 16, 1995
[Cambridge, Mass. : Massachusetts Institute of Technology, Flight Transportation Laboratory, 1995]
FTL report (Massachusetts Institute of Technology. Flight Transportation Laboratory) ; R95-10
Airport control towers, Business forecasting