Business Intelligence Analytics in Financial Management
Managing Airport Corporate Performance, Page: 155-185
2024
- 22Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures22
- Readers22
- 22
Book Chapter Description
This chapter sheds light on the integral role of Business Intelligence (BI) analytics in optimizing financial management within the airport industry. It explores various aspects of financial management, including airport development, economic appraisal methods, economic impact analysis models, financial evaluation key performance indicators (KPIs), and the integration of BI analytics in financial assessment. This chapter addresses the complex domain of airport development, underscoring the significance of informed financial decisions in the development of airport infrastructure and services, crucial for enhancing capacity and passenger experience. Within the context of airport development, delves into various economic appraisal methods employed to assess the viability and potential returns on investment. It highlights the importance of selecting appropriate appraisal techniques to inform development decisions. As airports have far-reaching economic implications on the regions they serve, this chapter explores economic impact analysis models, emphasizing how BI analytics can aid in quantifying and optimizing the economic contributions of airports. As effective financial management necessitates the utilization of KPIs tailored to the airport industry, then the essential financial evaluation KPIs that aid in monitoring and improving financial performance are identified and elaborated. Finally this chapter lies in the integration of BI analytics to financial evaluation processes. This chapter equips readers with an understanding of how BI analytics can be harnessed to enhance financial management practices within the airport industry. By aligning financial decisions with data-driven insights, airports can optimize resource allocation, improve financial performance, and make informed choices that support sustainable development.
Bibliographic Details
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