The current process to generate reports was extremely manual effort-intensive and took a few hours to complete. As a result, data was updated only once in 30-60 days.
Architected Hadoop based solution using Apache Spark for ad-hoc analysis on customer data.
Processed over 250TB of customer and POS data to enable granular data access for enhanced customer analytics. Our approach helped replace the manual effort-intensive process for generating reports resulting in 60% faster reporting and more than 10,000 man hours saved.