Case Study: a major retail chain achieves faster customer analytics with Sigmoid

World’s Largest Retailers speeds customer analytics reporting by 60% with Sigmoid

The customer, one of the world's largest retailers, faced a challenge with its extremely manual-intensive reporting process that took hours to complete. This slow system limited data updates to once every 30-60 days, preventing the company from maximizing the value of its campaign insights. They required a real-time unified customer analytics platform and a more effective data infrastructure, which led them to vendor Sigmoid.

Sigmoid architected a Hadoop-based solution using Apache Spark to enable ad-hoc analysis and provide granular access to customer data. This solution processed over 250TB of customer and point-of-sale information. The implementation by Sigmoid replaced the manual process, resulting in reports being generated 60% faster and saving the client more than 10,000 man-hours.