93 results:
ScienceSoft assisted a US nationwide telecom leader with Hadoop configuration, helping remove a single point of failure and ensure uninterrupted access to critical telecom data for its 400+ clients.
ScienceSoft handled the development of the SaaS platform for labor market analytics. The solution works quickly and reliably with a large amount of data and presents easy-to-digest results to users.
ScienceSoft helped a US research university standardize millions of research data entries across 40,000 parameters. We delivered a Power BI solution that allowed the Client to cut time spent on data search, explore data at different angles, and automate reporting.
ScienceSoft created a solution that helps a US investment firm screen financial market websites and flag news updates based on user-defined criteria, like a target company and a search period. The Client can now spot events that can influence investment decisions.
ScienceSoft empowered a leading oil drilling equipment manufacturer with an application for detecting drill bit defects and performing drill bit wear analysis. The solution is based on machine learning and visual recognition algorithms.
A desktop image recognition software for a leading petrochemical company. The solution improved quality control at a company's PU film manufacturing division, identifying film defects in real time.
ScienceSoft delivered a website for an education provider, which helped to reduce duplicated data by 5 times and improve the data system’s overall performance and stability.
ScienceSoft created a BI solution with a 40+ dimension OLAP cube for a B2B management consultancy to support their services with detailed data analysis and reporting.
A strategic solution based on image recognition technologies to help retailers tailor in-store customer experience, enhance marketing strategies, and detect potential criminals.
A data warehouse with an OLAP cube to streamline the delivery of 30 Power BI reports for a European producer of bottled water. The solution helped eliminate reporting inefficiencies that were caused by data silos and led to discrepancies in KPI calculation logic.
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