INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The paper emphasizes the importance of customer segmentation in today's marketing landscape, where understanding and catering to individual customer needs are paramount. It highlights customer service management and customer relationship management as key elements in achieving revenue growth and profitability. The authors discuss the use of data mining and clustering algorithms, specifically the k-means clustering technique, to segment customers based on their value. By analysing customer data and clustering them into distinct groups, businesses can better target their marketing efforts and tailor their strategies to specific customer segments. The paper also introduces a unique aspect by considering the duration and trend of customer value changes. By examining the historical behaviour of customers, businesses can improve the accuracy of their forecasts and make more informed decisions based on past customer interactions.
Keywords:
K-mean algorithm, Customer relationship management, Data mining, Customer segmentation, Business intelligence
Cite Article:
"CUSTOMER SEGMENTATION FOR BUSINESS INTELLIGENCE USING K-MEANS CLUSTERING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.c910-c915, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307289.pdf
Downloads:
000118753
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn