Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kuwar, Vishakha; Divakaran, Prakash; Chaturvedi, Vandana Mishra; Upreti, Shitiz; Upreti, Kamal; Tiwari, Akhilesh Title A name given to the resource Data-driven triumph: CRM sales insights revolutionize customer retention Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Transforming the Service Sector With New Technology;pp.191-208 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-7447-4.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-7447-4.ch012</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105010550443?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010550443?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kuwar V., Dr. D.Y. Patil Vidyapeeth, Pune, India; Divakaran P., Himalayan University, India; Chaturvedi V.M., Dr. D.Y. Patil Vidyapeeth, Pune, India; Upreti S., Maharishi Markandeshwar University, Mullana, India; Upreti K., Christ University, India; Tiwari A., Christ University, India Description An account of the resource Context: The examination of the CRM data is anchored in a comprehensive analysis of sales performance metrics, with a significant role played. It was found a gap in the literature, considering the scarcity of pertinent case studies within the academic literature. Method: The geographical factor is paramount in this analysis, as it unveils divergent results across different regions. Moreover, the venture into predictive analytics for sales forecasting, capitalizing on CRM primary data spanning from 2018 to 2023, facilitating more informed decision-making. The sample comprises around 1500 Business to Business customer clusters for in-depth analysis is considered. Findings: From the Business Intelligence analysis, it was found the presence of long-standing customers with a lower purchase rate, favouring average industrial product models preferred by the customers. Conclusion:The study also explores the link between CRM can shape business strategies, enhance customer relationships, and boost organizational performance and customer retention. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836937449-8; 979-836937447-4; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online