Problem Statement

RetailWorld uses different systems for sales transactions, inventory management, customer relationship management (CRM), and human resources (HR). Each system generates a vast amount of data daily.

The company's management wants to make data-driven decisions to improve its operations, optimize its supply chain, and enhance customer satisfaction. However, they face the following challenges:

1. Data Silos: Data is stored in separate systems, making gathering and analyzing information from multiple sources challenging.

2. Inconsistent Data: Different systems use varying data formats, making it hard to consolidate and standardize the data for analysis.

3. Slow Query Performance: As the volume of data grows, querying the operational databases directly becomes slower and impacts the performance of the transactional systems.

4. Limited Historical Data: Operational databases are optimized for current transactions, making storing and analyzing historical data challenging.

Solution

1. Centralized Data Repository: The Data Warehouse consolidates data from multiple sources, breaking down data silos and enabling a unified view of the company's information.

2. Consistent Data Format: Data is cleaned, transformed, and standardized to ensure consistency and accuracy across the organization.

3. Improved Query Performance: The Data Warehouse is optimized for analytical processing, allowing faster query performance without impacting the operational systems.

4. Historical Data Storage: The Data Warehouse can store and manage large volumes of historical data, enabling trend analysis and long-term decision-making.

5. Enhanced Reporting and Analysis: The Data Warehouse simplifies the process of generating reports and conducting in-depth analyses, providing insights into sales trends, customer preferences, inventory levels, and employee performance.