Featured Success Stories From Our 4,300-Project Portfolio

ScienceSoft designed and launched a scalable big data analytics system based on Apache Hadoop, Apache Hive, and Apache Spark. The new solution processes 1,000+ types of advertising data in real time and enables comprehensive analytics for different markets.

A European medical device manufacturer received a HIPAA- and GDPR-compliant platform to support liver procurement decisions. A predictive model analyzes liver scans from spectrometry devices, estimates steatosis levels, and continuously re-trains to maintain accuracy.

The app helps pet owners see where their pets are, get instant notifications if their pet leaves a secure territory, and even speak to them. The solution processes data from 1 million devices, and its architecture is designed to easily accommodate user growth.

ScienceSoft delivered an MVP of collaboration software the Customer used to provide consultations on large-scale construction projects.

ScienceSoft’s big data expert helped a large jewelry manufacturer and retailer speed up ETL migration to a new Incorta-based EDW. Acting as a consultant and developer, he helped the Customer’s in-house team improve their Python and Apache Spark skills and built 7 ETL pipelines to run enterprise-wide reports on inventory management, marketing campaigns, tendering, and more.

ScienceSoft helped Garan, a 4,000-employee US retailer, optimize its reporting solution that was processing over 300GB of ORC files daily. In 6 weeks, Garan made critical improvements to its HDFS, Spark, and Hive configurations and received a cloud migration roadmap.