AMBIENTUM BIOETHICA BIOLOGIA CHEMIA DIGITALIA DRAMATICA EDUCATIO ARTIS GYMNAST. ENGINEERING EPHEMERIDES EUROPAEA GEOGRAPHIA GEOLOGIA HISTORIA HISTORIA ARTIUM INFORMATICA IURISPRUDENTIA MATHEMATICA MUSICA NEGOTIA OECONOMICA PHILOLOGIA PHILOSOPHIA PHYSICA POLITICA PSYCHOLOGIA-PAEDAGOGIA SOCIOLOGIA THEOLOGIA CATHOLICA THEOLOGIA CATHOLICA LATIN THEOLOGIA GR.-CATH. VARAD THEOLOGIA ORTHODOXA THEOLOGIA REF. TRANSYLVAN
|
|||||||
Rezumat articol ediţie STUDIA UNIVERSITATIS BABEŞ-BOLYAI În partea de jos este prezentat rezumatul articolului selectat. Pentru revenire la cuprinsul ediţiei din care face parte acest articol, se accesează linkul din titlu. Pentru vizualizarea tuturor articolelor din arhivă la care este autor/coautor unul din autorii de mai jos, se accesează linkul din numele autorului. |
|||||||
STUDIA INFORMATICA - Ediţia nr.Sp. Issue 1 din 2014 | |||||||
Articol: |
DIRECT MARKETING OPTIMIZATION USING CLIENT RELATIONAL GRAPHS. Autori: . |
||||||
Rezumat:
In the present paper we give an introduction to some problems which occur at a bank and can be represented by graphs. We will demonstrate network building possibilities on specific data and apply them to improve prediction and/or replace the present methods of the sector.We give a detailed analysis of the corporate transaction graph and a retail client relational graph based on data of the OTP Bank. Our main result is the optimization of the response rates of Direct Marketing (DM) campaigns using the relational network (built on the known attributes such as common telephone number, same family name, etc.). According to our new approach - in contrast to the traditional banking methods - we use neither clients` personal data itself nor account behaviours, but the structure of networks to find a better segmentation. Networks can also give us forecasting models: we restrict to sending DM offers only to certain clients who met with some graph theoretical requirements. This approach raised the DM offer acceptance rate by 1.5-2 times of the average of previous DM campaigns. 2010 Mathematics Subject Classification. 91D30, 05C82.1998 CR Categories and Descriptors. J.4 [Social and behavioural sciences]: Subtopic- Economics; E.1 [Data structures]: Subtopic - Graphs and networks. Key words and phrases. Direct Marketing optimization, client relational graph, collaboration graph, banking methods, banking graphs.
|
|||||||