Case Study: NinthDecimal boosts data processing and productivity with Provectus's ML-powered analytics platform

NinthDecimal increases visibility into location data and extracts actionable insights from consumers’ behavior in real world

The customer, NinthDecimal, faced significant challenges with their legacy data platform, which had a low 40% job success rate and caused major delays in deploying data pipelines, hindering their ability to process real-time consumer location data. They engaged the vendor, Provectus, to design a new ML-powered data and analytics platform to overcome these inefficiencies.

Provectus built a modern solution on AWS, utilizing Apache Spark, Amazon EMR, and microservices to process over 5 billion daily events. This new platform achieved a 99% job success rate, increased cluster throughput by 10x, and boosted the data team's productivity by 50%. The results included $100K in monthly savings and a $1M annual increase in ROI for NinthDecimal, solidifying their market leadership.

NinthDecimal