This lesson examines the foundational data infrastructure and analytical techniques that power modern CRM strategies.

3.1 The Role of Data in CRM
Data is the fuel that powers CRM. Effective CRM requires the ability to collect, store, and analyze vast amounts of customer information. To create a “single view” of the customer, banks must integrate data from disparate systems. A critical principle of CRM is ensuring that customer data is accurate, complete, and accessible across the organization .

3.2 Data Warehousing and Database Management
A data warehouse is a centralized repository that stores data from various sources, making it available for analysis. This contrasts with transactional databases that manage day-to-day operations. The data warehouse is designed for query and analysis, providing the foundation for understanding customer behavior and making data-driven decisions. Database management is the process of organizing, storing, and maintaining this data to ensure its integrity and security .

3.3 Data Mining and Analytics
Data mining is the process of discovering patterns, trends, and insights within the data stored in a warehouse. Techniques include classification (assigning customers to segments), estimation (predicting a value, such as customer lifetime value), prediction (forecasting future behavior, such as churn risk), and affinity grouping (identifying which products are often bought together). This analytical work is the source of a bank’s strategic insights .