A Review study on Application of Data Mining Techniques in CRM of Pharmaceutical Industry

Authors

  • Durga Sadanand Tembhurne  M. Tech Scholar, Department of Computer Science and Engineering Tulsiramji Gaikwad-Patil College of Engineering and Technology Nagpur, Maharashtra, India
  • Prof. Jayant Adhikari  Department of Computer Science and Engineering Tulsiramji Gaikwad-Patil College of Engineering and Technology Nagpur, Maharashtra, India
  • Prof. Rajesh Babu  Department of Computer Science and Engineering Tulsiramji Gaikwad-Patil College of Engineering and Technology Nagpur, Maharashtra, India

Keywords:

Data Mining; CRM, Decision Tree, Tree Algorithm, Frequent Pattern Algorithm.

Abstract

Here author described Customer relationship management (CRM), CRM is basically data mining technology also CRM of enterprise of medical industry and its applications are also discussed for that classification tree algorithm is used. The information flow in the pharmaceutical industry was simple and the application of technology was veryquiet in last two decades. However, Now a days today's world technology has become most vital part of the business processes, the process of transfer of information becomes more complicated. Today increasingly technology is being used to help the pharmaceutical firms manage their inventories and to develop new product and services. The paper explains the role of data mining in pharmaceutical industry. The paper presents how Data Mining (DM) discovers and extracts useful patterns from this large data to find observable patterns. The paper demonstrates the ability of Data Mining in improving the quality of decision making process in pharma industry

References

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Published

2019-03-30

Issue

Section

Research Articles

How to Cite

[1]
Durga Sadanand Tembhurne, Prof. Jayant Adhikari, Prof. Rajesh Babu, " A Review study on Application of Data Mining Techniques in CRM of Pharmaceutical Industry, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 6, Issue 2, pp.01-07, March-April-2019.