42 results:
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.
The solution provides data-driven guidance on stock investing for NASDAQ and NYSE traders and automates trade execution. ScienceSoft’s team of 20 data scientists created custom algorithms for technical pattern recognition, stock price forecasting, and autonomous trading.
ScienceSoft delivered a centralized data analytics solution that allowed a multibusiness corporation to get a 360-degree customer view, optimize stock management, and assess the employees’ performance.
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.
A BI solution with 6- and 12-dimensional OLAP cubes that allowed our client to speed up response time to end client requests, reduce unproductive time, and, consequently, enhance customer experience.
A BI solution to replace the Customer’s legacy solution and improve analytical processes. The system features a data warehouse, ETL pipelines, an analytical cube, and algorithms for comprehensive and standardized reporting.
The solution automatically aggregates data from 40 disparate sources, runs multidimensional analysis and forecasting across 30 finance variables, and features 17 pre-built report templates, giving the Customer comprehensive insights into its financial performance.
ScienceSoft's .NET team developed 20 custom algorithms that auto-convert multi-source telematics big data to a unified proprietary format. The Customer's system has reached the capacity to process data on 100B+ vehicle events from hundreds of diverse devices.
In 2 months, ScienceSoft provided a US-based biotechnology company with a desktop app for lung cancer detection. The app ensures 100% stable generation of comprehensive diagnostic reports based on analysis of flow cytometry data.
ScienceSoft developed a full-scale BI solution that allowed a producer of phytotherapy products to improve its decision-making due to company-wide analytics and ad-hoc reporting.
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