93 results:
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.
An analysis and reporting module of product life cycle management system for 18,500+ manufacturers and retailers allows precise control over tendering, launching and development of consumer goods. The key advantage of the system is assuring the standard-driven safety of food and non-food products.
ScienceSoft designed and developed a robust BI solution for a large US-based food manufacturer and distributor. The BI platform delivered in six months helps the Customer efficiently consolidate and analyze business data from multiple sources for improved enterprise decision-making.
ScienceSoft developed a HIPAA-compliant data analytics platform that automatically prepares healthcare providers’ data for BI reporting. The Client also received a data governance framework, a data strategy roadmap, and platform user guidelines.
ScienceSoft’s big data expert helped a large jewelry manufacturer and retailer speed up ETL migration to a new Incorta-based EDW. Acting as a consultant and developer, he helped the Customer’s in-house team improve their Python and Apache Spark skills and built 7 ETL pipelines to run enterprise-wide reports on inventory management, marketing campaigns, tendering, and more.
In just three months, ScienceSoft assisted a UAE fintech startup in migrating its analytics pipelines from Amazon RDS to Google Cloud Platform. The new solution allowed the Customer to move away from spreadsheet-based reporting and benefit from self-service BI.
Within just 5 months, ScienceSoft designed and delivered an IoT-based MVP for monitoring energy generation and consumption. The MVP's functionality covered real-time data aggregation, processing, analytics, and visualization.
Within 3 months, ScienceSoft delivered an MVP of an AI module for a help desk software product. The module enables audio transcription, text summarization, and client sentiment analysis to support service analytics and reduce manual work for help desk agents.
ScienceSoft delivered a BI solution that allowed to streamline HR and performance management processes and enabled financial analysis.
A scalable analytics system with Apache Kafka and Amazon Redshift at its core enables real-time customer analytics, data-driven forecasting, and automated reporting. ScienceSoft’s advice on the efficient analytics toolkit helped reduce system maintenance costs by 80%.
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.
ScienceSoft Global
Healthcare
Insurance
Investment
