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Customer Relationship Management (CRM) System

Overview

This project focuses on designing and implementing a Customer Relationship Management (CRM) system to support structured management of customer data, interactions, and operational workflows. The system emphasizes database-driven design and reliable backend logic to ensure data consistency and usability.

The goal of this project is to demonstrate how well-designed database systems can support business operations and decision making.

Problem Context

Organizations often struggle to manage customer information across multiple processes such as enrollment, interaction tracking, and relationship management. Without a centralized and structured system, data becomes fragmented, leading to inefficiencies and poor decision support.

This project addresses that challenge by modeling a CRM system that organizes customer-related data into a structured, queryable, and scalable backend.

System Design & Approach

  • Designed relational database schemas to model customers and related entities
  • Implemented SQL and PL/SQL logic to manage core system operations
  • Ensured data integrity through constraints and procedural logic
  • Focused on backend reliability rather than UI-driven features
  • Structured workflows to reflect real-world operational scenarios

Tools & Technologies

  • SQL
  • PL/SQL
  • Relational database design
  • Backend system logic

Key Capabilities

  • Centralized storage of customer information
  • Structured handling of customer records and relationships
  • Backend logic to support operational workflows
  • Query-ready data model to support reporting and analysis

Notes & Future Improvements

  • Add reporting and analytics features for customer insights
  • Extend the schema to support more advanced CRM use cases
  • Integrate a frontend interface for improved usability

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Database-driven CRM system project demonstrating SQL-based customer data management.

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