Case Study: InMarket achieves 99% data job success and 50% higher productivity with Provectus ML-powered data platform

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

InMarket, an omnichannel marketing platform for Fortune 500 brands, needed to modernize its legacy data platform, which struggled with real-time location data, had only a 40% job success rate, and caused major development and deployment delays. Provectus was brought in to help design a more scalable ML- and data-driven platform using AWS-based services.

Provectus built an ML-powered data and analytics platform using Apache Spark on Amazon EMR, Amazon S3, AWS Lambda, Kinesis, Kafka, Kubernetes, and Snowflake to process more than 5 billion events per day and support 10 data products. The new platform increased Spark job completion to 99%, boosted team productivity by 50%, improved cluster throughput by 10x, and delivered an estimated $1M increase in annual ROI plus $100K in monthly savings.

InMarket