A Customer Relationship Management (CRM) is a strategy or practice that organizations use to manage and analyze the various activities related to their customers' lifecycle. It aims to improve customer loyalty, satisfaction, and profitability. CRM is utilized by various companies to gather and analyze data about their customers. It then uses tools and techniques to develop personalized marketing and sales strategies. A central database is used to store and manage customer information. A CRM system can help businesses identify and target their customers' specific needs and preferences. It can also use advanced statistical techniques to analyze and improve their customer interactions. This type of strategy is very useful in helping companies develop effective marketing campaigns. The paper explores the various advantages of data mining in CRM. This process can help organizations identify patterns in their customer data and improve their customer satisfaction. It can also help them develop effective marketing strategies and improve their sales. This paper explores the various challenges that come with data mining in CRM, such as security, privacy, and quality. It also provides recommendations on how to overcome these issues and implement effective practices related to data mining. The paper covers the various aspects of data mining in CRM and provides practical advice for organizations that want to improve their customer service and understand their customers better.

CRM, Datamining, Banking, Customer satisfaction