73 results:
ScienceSoft’s team helped the Client develop and evolve the SaaS platform for labor market analytics and ensured fast time-to-market due to the mature collaboration process, prompt changes implementation and flexibility to scale up as the project grew.
ScienceSoft helped the Client substantially expand the functionality of their communication planning solution and deliver it to iPad.
ScienceSoft collaborated with the Client to streamline data warehouse development for their international payment platform.
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.
ScienceSoft prepared a proof of concept for an AI process optimization tool for a real estate investor. ScienceSoft compared several AI platforms for accuracy, responsiveness, and integration capacity and designed a Microsoft Copilot-based solution in just 8 days.
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 provided all-encompassing managed testing services of a new web store integrated with CRM solution and a data warehouse into one ecosystem developed for a US multi-industry corporation.
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 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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