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  Published Paper Details:

  Paper Title

ROLE OF DATA MINING IN CRM

  Authors

  Ankush Dhoka

  Keywords

CRM, data mining, customer, data mining techniques, database

  Abstract


Abstract- This article presents a framework for identifying appropriate data mining techniques for various CRM activities. This article attempts to integrate customer relationship management and data mining models and proposes a new data mining model for customer relationship management. The new model specifies which types of data mining processes are suitable for which customer relationship management steps / processes. To develop an integrated model, it is important to understand the existing customer relationship management and data mining models. Therefore, the article examines some of the existing customer relationship management and data mining models and finally proposes an integrated data mining model for CRM. Research Implementation: this research document provides a preliminary understanding of the role of data mining in CRM to retain customers, in addition to that it also highlights how different data mining tools are used to retain their customers with unique ideas and approaches and helps meet market needs for the present and the future. Originality: this document highlights the different types of use of data mining to retain customers, as well as the importance of data mining and database maintenance to retain existing customers and meet needs.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2005349

  Paper ID - 194775

  Page Number(s) - 2705-2709

  Pubished in - Volume 8 | Issue 5 | May 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ankush Dhoka ,   "ROLE OF DATA MINING IN CRM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 5, pp.2705-2709, May 2020, Available at :http://www.ijcrt.org/papers/IJCRT2005349.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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