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:
Data Silos: Data is stored in separate systems, making gathering and analyzing information from multiple sources challenging.
Inconsistent Data: Different systems use varying data formats, making it hard to consolidate and standardize the data for analysis.
Slow Query Performance: As the volume of data grows, querying the operational databases directly becomes slower and impacts the performance of the transactional systems.
Limited Historical Data: Operational databases are optimized for current transactions, making storing and analyzing historical data challenging.
Solution
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.
Consistent Data Format: Data is cleaned, transformed, and standardized to ensure consistency and accuracy across the organization.
Improved Query Performance: The Data Warehouse is optimized for analytical processing, allowing faster query performance without impacting the operational systems.
Historical Data Storage: The Data Warehouse can store and manage large volumes of historical data, enabling trend analysis and long-term decision-making.
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.
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