- -

Big Data Analysis Tools Combined with AHP for Improving Bank Services Sales

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Big Data Analysis Tools Combined with AHP for Improving Bank Services Sales

Show simple item record

Files in this item

dc.contributor.author Mayor-Vitoria, Fernando es_ES
dc.contributor.author Garcia-Bernabeu, Ana es_ES
dc.contributor.author Pla Santamaría, David es_ES
dc.contributor.author Salas-Molina, Francisco es_ES
dc.contributor.author Nor Aida, Abdul Rahman es_ES
dc.date.accessioned 2020-02-01T21:00:56Z
dc.date.available 2020-02-01T21:00:56Z
dc.date.issued 2019 es_ES
dc.identifier.uri http://hdl.handle.net/10251/136161
dc.description.abstract [EN] This paper deals with two important issues related to the decision making in the financial field: Big Data and Multicriteria Decision Making (MCDM) methods. To handle the combination between them, we apply the so-called MapReduce paradigm, which is widely deployed in big data analysis, and the Analytic Hierarchy Process (AHP), which is the most used method among the MCDM methodologies. The main gap to cover is shown in two directions; on the one hand, how big data analysis can help to overcome the limitations of methodologies such as AHP when a vast number of alternatives are present, on the other hand, we look at how MCDM methods can help big data analysis to go one step beyond, that is to say, to move from the predictive to the prescriptive analysis. To illustrate the whole approach, we show its application to a real world decision problem concerning the sale of travel insurances. Our methodology returns an accurate ranking of potential clients before being contacted by the sales agent working for a commercial bank. So it helps to the sales profession by contributing to the creation of value for customers and to the sales professionals by optimizing their functions. es_ES
dc.language Inglés es_ES
dc.publisher Bioscience Research and Educational Trust es_ES
dc.relation.ispartof International Journal of Recent Scientific Research es_ES
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Analytic Hierarchy Process es_ES
dc.subject Decisionmaking es_ES
dc.subject Client selection es_ES
dc.subject Research priorities es_ES
dc.subject Sales professionals es_ES
dc.subject Artificial intelligence es_ES
dc.subject.classification ECONOMIA FINANCIERA Y CONTABILIDAD es_ES
dc.subject.classification ECONOMIA APLICADA es_ES
dc.title Big Data Analysis Tools Combined with AHP for Improving Bank Services Sales es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.24327/ijrsr.2019.1012.4882 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials es_ES
dc.description.bibliographicCitation Mayor-Vitoria, F.; Garcia-Bernabeu, A.; Pla Santamaría, D.; Salas-Molina, F.; Nor Aida, AR. (2019). Big Data Analysis Tools Combined with AHP for Improving Bank Services Sales. International Journal of Recent Scientific Research. 10(12):36216-36224. https://doi.org/10.24327/ijrsr.2019.1012.4882 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.24327/ijrsr.2019.1012.4882 es_ES
dc.description.upvformatpinicio 36216 es_ES
dc.description.upvformatpfin 36224 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 12 es_ES
dc.identifier.eissn 0976-3031 es_ES
dc.relation.pasarela S\400050 es_ES


This item appears in the following Collection(s)

Show simple item record