Advancement and Improvement of CRM with the Use of Statistics Mining Strategies
Shabanaunnisa Begum
Shabanaunnisa Begum, Assistant Professor, Department of CSE, MRECW, Maisammaguda Womens College, Hyderabad (Telangana), India.
Manuscript received on 01 November 2019 | Revised Manuscript received on 13 November 2019 | Manuscript Published on 22 November 2019 | PP: 1925-1928 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F13700986S319/19©BEIESP | DOI: 10.35940/ijeat.F1370.0986S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Abstract consumer relationship control (CRM) is a system that mainly deals with the communication among a enterprise and its customers. CRM thru facts mining can get more efficiency in obtaining new customers, increasing fee of present clients and preserving excellent clients. The number one users of CRM software program programs are database entrepreneurs who are seeking to automate the system of interacting with clients. To achieve success, database marketers ought to first become aware of marketplace segments containing clients or prospects really worth high-income ability. Statistics mining technology are relevant in lots of methods models and strategies which are used to go looking variety of patterns and relationships of different forms of facts. Statistics mining applications system of looking within the automation gear which reaches to the mountains of facts to look patterns that are good predictors of buying behaviors. After information mining, marketers need to display the outcomes into which coping with the enterprise market described in immediately way.
Keywords: Customer Relationship Management, Data Items, K-Means.
Scope of the Article: Data Mining and Warehousing