This project focuses on building a unified customer profile using Microsoft Dynamics 365 Customer Insights. It ingests data from multiple sources such as CRM, transactional systems, and digital channels to create a single customer view. Matching and merging rules are configured to resolve duplicates and ensure data accuracy. Data transformations and enrichment enhance profile completeness. The solution enables organizations to gain a holistic understanding of customers for personalized engagement and strategic decision-making.

This project focuses on designing advanced customer segmentation and AI-driven predictions using Microsoft Customer Data Platform. It creates dynamic segments based on behavioral, demographic, and transactional data. Predictive models such as churn and propensity scoring are applied to generate actionable insights. Measures and KPIs are configured to track customer performance. The project demonstrates how enterprises use CDP analytics to optimize marketing, retention, and growth strategies.

This project focuses on integrating Microsoft Customer Insights with Dynamics 365 applications and Power BI for enterprise-level reporting. Unified customer data is synchronized with downstream systems to support marketing, sales, and service use cases. Interactive dashboards are built to visualize customer trends, segments, and predictive outcomes. Security roles and governance controls are applied to manage data access. The project reflects real-world CDP implementations used for data-driven business decisions across organizations.