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A mobile solution to complement the Customer's products – business intelligence applications with complex analytics capabilities. The handy tool has enriched the functionality with interactive, visualized maps to help users better perceive data.
ScienceSoft designed an image analysis application to remotely monitor oil store tanks in real time to help the customer optimize inventory management and detect oil leak.
ScienceSoft’s team created a custom image analysis solution for the retail industry to analyze customers' behavior, optimize merchandizing activities, estimate sales productivity, etc.
ScienceSoft provided project management consulting to reorganize an inefficient communication flow and optimize scope planning in a complex development project with multiple stakeholders for one of the world’s leading stock market regulators.
In 8 weeks, ScienceSoft delivered an MVP of a DataHub-based data catalog SaaS product tailored to the needs of the startup’s first potential client. The client purchased a product subscription, giving the startup a significant early win for further product development.
ScienceSoft architected a multi-entity data analytics solution comprising ESB, ETL, a data warehouse, an advanced analytics module, and a BI module. The Customer got a detailed report on the most feasible tech stack choices with cost estimates for each option.
Supporting a satellite agency in their shift to big data, ScienceSoft has assessed the architecture and the technology stack of their future solution, as well as prepared training materials and conducted workshops for their top management and technical team.
ScienceSoft designed a 4-layer integration architecture based on ESB and ETL to connect the enterprise apps of 30+ diverse businesses. Our experts compared four integration tech stacks and suggested the best-fitting options for various business development scenarios.
ScienceSoft developed XGBoost, RNN, and LSTM machine learning models to help an energy solutions provider achieve the lowest possible nitrogen emissions values for its gas turbines.
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.
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