Big Data Case Studies
With 31 years in data analytics and 7 years in big data, ScienceSoft helps companies collect their big data and transform it into actionable insights. Our big data services range from big data consulting to implementing a full-scale big data analytics solution. Let us say no more, just explore our big data success stories to see how big data can solve your business problems!
If you haven’t found a project similar to yours, don’t hesitate to turn to us for assistance.
Migration to a new analytical system that ScienceSoft implemented helped one of the top market research companies secure an innovative big data solution based on Apache Hadoop, Apache Hive and Apache Spark frameworks. The new system was 100 times faster compared to the old one and could process 1,000 different data formats.
To support a long-term customer in a new service launch, ScienceSoft delivered a scalable IoT data management solution that allowed processing 30,000+ events per second from 1 million devices.
ScienceSoft’s big data consulting team developed a data analytics platform for a Texas-based telecom company. A technology stack with Apache Kafka and Amazon Redshift at the core enabled insightful regular and ad-hoc reporting, as well as forecasting.
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.
ScienceSoft delivers professional L2, L3 support services for a large advertising agency, allowing for sustainable work of a complex microservices-based solution that manages big data processing and is integrated with multiple external systems.
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 consulted a leading Internet of Vehicles company about enhancing their big data analytics capabilities. The solution was designed to analyze the currently available IoT data from 600,000 vehicles connected to their systems and easily scale up to support data growth.
ScienceSoft designed an image analysis application to remotely monitor oil store tanks in real time to help the customer optimize inventory management and detect oil leak.