250TB+ data processed for faster customer analytics
Processed huge volumes of customer and POS data, generating insights within seconds for their users through scalable and highly effective data management
Business Challenges
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.
Sigmoid’s Solution
Architected Hadoop based solution using Apache Spark for ad-hoc analysis on customer data.
Business Impact
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.
