Abstract
As airlines strive to gain market share and sustain profitability in today's economically challenging environment, they should develop new ways to optimize their frequent flyer programs while increase revenues. Aware of the challenges, airlines want to implement a customer relationship management (CRM) strategy based on customer analytics and data mining techniques to support marketing decisions. So, to achieve this goal, we have to apply clustering techniques to the company customer databases and develop a single view of customer across their demographic and behavioral characteristics as well as their value for the company. This will enable the company to identify the most profitable customers and run marketing campaigns more efficiently.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 8th Iberian Conference on Information Systems and Technologies, CISTI 2013 |
| Publication status | Published - 25 Nov 2013 |
| Event | 8th Iberian Conference on Information Systems and Technologies, CISTI 2013 - Lisbon, Portugal Duration: 19 Jun 2013 → 22 Jun 2013 |
Publication series
| Name | Iberian Conference on Information Systems and Technologies, CISTI |
|---|---|
| ISSN (Print) | 2166-0727 |
| ISSN (Electronic) | 2166-0735 |
Conference
| Conference | 8th Iberian Conference on Information Systems and Technologies, CISTI 2013 |
|---|---|
| Country | Portugal |
| City | Lisbon |
| Period | 19/06/13 → 22/06/13 |
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Keywords
- airlines
- Cluster analysis
- customer relationship management
- data mining
- decision support
Cite this
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Building clusters for CRM startegies by mining airlines customer data. / Miranda, Helena Sofia; Henriques, Roberto.
Proceedings of the 8th Iberian Conference on Information Systems and Technologies, CISTI 2013. 2013. 6615775 (Iberian Conference on Information Systems and Technologies, CISTI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Building clusters for CRM startegies by mining airlines customer data
AU - Miranda, Helena Sofia
AU - Henriques, Roberto
N1 - Miranda, H. S., & Henriques, R. (2013). Building clusters for CRM startegies by mining airlines customer data. In Proceedings of the 8th Iberian Conference on Information Systems and Technologies, CISTI 2013 [6615775] (Iberian Conference on Information Systems and Technologies, CISTI).
PY - 2013/11/25
Y1 - 2013/11/25
N2 - As airlines strive to gain market share and sustain profitability in today's economically challenging environment, they should develop new ways to optimize their frequent flyer programs while increase revenues. Aware of the challenges, airlines want to implement a customer relationship management (CRM) strategy based on customer analytics and data mining techniques to support marketing decisions. So, to achieve this goal, we have to apply clustering techniques to the company customer databases and develop a single view of customer across their demographic and behavioral characteristics as well as their value for the company. This will enable the company to identify the most profitable customers and run marketing campaigns more efficiently.
AB - As airlines strive to gain market share and sustain profitability in today's economically challenging environment, they should develop new ways to optimize their frequent flyer programs while increase revenues. Aware of the challenges, airlines want to implement a customer relationship management (CRM) strategy based on customer analytics and data mining techniques to support marketing decisions. So, to achieve this goal, we have to apply clustering techniques to the company customer databases and develop a single view of customer across their demographic and behavioral characteristics as well as their value for the company. This will enable the company to identify the most profitable customers and run marketing campaigns more efficiently.
KW - airlines
KW - Cluster analysis
KW - customer relationship management
KW - data mining
KW - decision support
UR - http://www.scopus.com/inward/record.url?scp=84887900044&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9789899843400
T3 - Iberian Conference on Information Systems and Technologies, CISTI
BT - Proceedings of the 8th Iberian Conference on Information Systems and Technologies, CISTI 2013
ER -