Big Data: Does it add to the bottom line?
In recent years technological advances have made large-scale data mining, analytics and forecasting solutions (‘Big Data’) less costly and more readily available to smaller institutions such as airports. This paper considers how Big Data can be utilised to enhance service and operations within an airport environment and whether using Big Data does in fact add to the bottom line, referencing case studies from Gatwick Airport. The paper suggests that, with the right combination of data analysis/data science capabilities in the organisation and the necessary alignment between operational, commercial and technology functions, Big Data does add to the bottom line, directly and indirectly, through automating decisions, embedding analysis in all functions for decision-making support and enabling wider information flow and collaboration in many areas, one of which is the machine learning required to derive bottom-line value from the Internet of Things.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/17501938
-
Supplemental Notes:
- Abstract reprinted with permission from Henry Stewart Publications.
-
Authors:
- Howell, Christopher
- Publication Date: 2016
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 326-333
-
Serial:
- Journal of Airport Management
- Volume: 10
- Issue Number: 4
- Publisher: Henry Stewart Publications
- ISSN: 1750-1938
- EISSN: 1750-1946
- Serial URL: https://www.henrystewartpublications.com/jam
Subject/Index Terms
- TRT Terms: Airport operations; Data analysis; Data mining; Internet of things
- Identifier Terms: Gatwick Airport
- Uncontrolled Terms: Big data
- Subject Areas: Aviation; Data and Information Technology; Planning and Forecasting;
Filing Info
- Accession Number: 01618241
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 1 2016 8:27AM