Customer Relationship Management for Better Insights with Descriptive Analytics

Abstract

The Customer Relationship Management (CRM) dashboard with analytics capabilities may \nbe useful for businesses desire to understand consumer behaviour and gain competitive advantages. This user-friendly dashboard allows organizations to efficiently collect and evaluate important data, including customer interactions, purchase histories, and demographics. \nBy leveraging various visualization techniques, such as histogram, bar charts, line charts, and \nheatmaps, the CRM dashboard displays statistics, enabling businesses to understand more \nabout customer journeys, patterns, and behavioural trends. The integrated recommender \nsystem on the CRM dashboard is also crucial. Based on their historical interactions and \nbuying behaviours, this system recommends tailored products or services to customers, enhancing engagement and ultimately increasing sales. The methodology used in this research \nis structured based on a standard data analytics procedure. The methods used to gather and \nevaluate the data are described in the data gathering and analysis. It contains details on the \ndata gathering, the steps used to clean and prepare the data, and the statistical or analytical techniques employed to evaluate the data. As a result, machine learning simulations may \nbe made using the data to demonstrate the effectiveness of the CRM dashboard. The CRM \ndashboard with analytics capabilities provides a comprehensive solution for businesses wishing to manage and study customer data and interactions owing to its user-friendly interface, \nvisualizations, and recommender system.