Challenge

Inefficiencies in understanding customer behavior and managing inventory due to fragmented and underutilized data.

Solution

A robust Big Data & Analytics implementation to transform data into actionable business insights.

Process

• Data Collection and Integration: Aggregated data from point-of-sale systems, online shopping portals, customer feedback, and supply chain logistics.
• Data Processing and Analysis: Utilized Apache Hadoop for large-scale data processing, complemented by machine learning algorithms in Apache Spark to extract customer behavior patterns and predict trends.
• Insight Visualization and Reporting: Created interactive dashboards in Tableau, enabling business leaders to visualize data trends and make informed decisions.

Approach

• Strategic Data Alignment: Employed Talend and Apache Nifi to ensure data integrity and compatibility, aligning with business objectives.
• Real-Time Analytics Implementation: Established a real-time data analytics framework using Apache Spark to respond swiftly to market changes.
• User-Friendly Data Interaction: Chose Tableau for its user-centric design, enabling team members across RetailGenius to interact with data without needing technical expertise.