International Journal of Management and Applied Science (IJMAS)
current issues
Volume-4,Issue-10  ( Oct, 2018 )
Past issues
  1. Volume-4,Issue-10  ( Oct, 2018 )
  2. Volume-4,Issue-9  ( Sep, 2018 )
  3. Volume-4,Issue-8  ( Aug, 2018 )
  4. Volume-4,Issue-7  ( Jul, 2018 )
  5. Volume-4,Issue-6  ( Jun, 2018 )
  6. Volume-4,Issue-5  ( May, 2018 )
  7. Volume-4,Issue-4  ( Apr, 2018 )
  8. Volume-4,Issue-3  ( Mar, 2018 )
  9. Volume-4,Issue-2  ( Feb, 2018 )
  10. Volume-4,Issue-1  ( Jan, 2018 )

Statistics report
Jan. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 56
Paper Published : 3637
No. of Authors : 7479
  Journal Paper




Paper Title :
Improving Customer Relationship Management (CRM) in Banking Sector using Data Mining

Author :M. Mubasher Hassan, Tabasum M.

Article Citation :M. Mubasher Hassan ,Tabasum M. , (2018 ) " Improving Customer Relationship Management (CRM) in Banking Sector using Data Mining " , International Journal of Management and Applied Science (IJMAS) , pp. 63-68, Volume-4,Issue-9

Abstract : The rapid increase in volume of data on daily basis can best be utilized to retrieve the useful information using data mining approach for enhancing Customer Relationship Management (CRM). The banking or financial sectors are more or less directly or indirectly customer driven organizations and retention cum satisfaction level of a customer is must. In this paper the diverse parameters of customer satisfaction level have been taken into considerations using data mining techniques to ultimately improve the CRM. Making the right decision by taking into account the deep insight of data mining techniques is the focus of this paper in order to improve the CRM Keywords - CRM, Data Mining, Segmentation, Clustering and Patterns

Type : Research paper

Indexed : Google Scholar


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