Businesses have entered a new era of decision-making and managing principles due to the pervasive availability of large amounts of data and the drastic growth, in the last decade, in the capacity to store and process data. Aviation is not an exception; Data Science principles have started to emerge through research programmes and practical applications in the field, albeit more slowly in some business functions than others.
Data Science, as a set of fundamental principles that support and guide the principled extraction of information and knowledge from data, leans on well-known data-mining techniques. However, it goes far beyond these techniques, with successful data-science paradigms that provide specific application guidelines. Data-driven decision making involves principles, processes and techniques for understanding phenomena via the automatic analysis of data.
A data-analytic thinking approach will help to envision opportunities for improving data-driven decision making in different contexts. There is strong evidence that aviation performance can be improved substantially via data-driven decision making and data-science techniques drawing on big data. Data-science will support data-driven decision making in the aviation field, where the underlying principles have yet to be established, in order to be able to realize its potential.
Innaxis participates in various research programmes and works on different applications in this field. We will be organizing a workshop on Data Science applied to Aviation in Madrid, Spain during October 2013. Please, write to us at firstname.lastname@example.org if find this of interest and you would like to receive information on the workshop (please state “Data Science workshop” in the subject).