AIRBUS CORPORATE CONSULTING: PREDICTIVE ANALYTICS IN GLOBAL MOBILITIES

Abstract

As technologies keep evolving over time, they allow the development of new businesses and provide great improvements in existing businesses. Emerging technologies help organizations to act better and become one of the keys to success for businesses. Recently, predictive analytics became a trend which has an increasing influence in the business world. With the power to predict with precision, it could optimize the process and provide advantages to the organization who can utilize it. Airbus is aware of the importance of predictive analytics and would like to initiate the research with the Airbus global mobility team. The predictive analytics could help Airbus on the expatriation assignments regarding the finding of the right candidates, success of assignments, and the possible financial return. The objectives of this study are to explore the useful predictive analytics from academic research, theories, and concepts to use with global mobility, benchmark the existing predictive analytics tools in the market along with exploring the implementation use case from other companies, and to provide recommendations of the possibilities to use predictive analytics to enhance Airbus global mobility. This research explored some interesting factors and possibilities within global mobility which Airbus may want to consider upon implementing the predictive analytics. With the internal analysis using SWOT and listing all existing global mobility resources, Airbus could use the strength and the advantage of existing resources to drive the predictive analytics and data collection forward and at the same time, aware of the weakness and threats that may hinder the implementation. From the exploration, many well-known companies started using predictive analytics to enhance their human resource operation and financial analysis within their firms. There are also numerous tools capable of predictive analytics available in the market, however, only a few companies started to use it in the global mobility field. Airbus could use this research as a reference point to conduct further research on combining predictive analytics with global mobility. Starting now, Airbus could be the leading company to implement predictive analytics with global mobility.