42 results:
ScienceSoft developed an Azure-based BI solution for a leading provider of manufacturing and supply chain management services. The tailored reports give the Customer better visibility into its sales performance.
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 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 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 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.
ScienceSoft designed software architecture and provided detailed recommendations on creating machine-learning models to allow electricity companies to optimize their load management and price determination procedures.
ScienceSoft advised an outsourcing company on how to get actionable insights out of disintegrated enterprise data sources.
ScienceSoft deployed an on-premises Hadoop lab for one of the largest US colleges. Now, their students can get hands-on experience with HDFS, MapReduce, Apache Hive, Apache Spark, Apache Pig, and other big data technologies.
In 2 days, ScienceSoft provided a US tenant screening company with an architecture for a web scraping and analytics solution that automatically gathers tenant background data from government databases. We also advised the Client on the legal aspects of web scraping.
In compliance with GDPR, your personal information will be collected and stored for ten years on servers located in the United States. After this term is expired, your information will be erased. We will share your information with our development center, which will handle your request. At our headquarters and our development center we apply the same level of care in respect of your information as prescribed with GDPR rules. For more information, please refer to our Privacy Policy.
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