Energy & Utilities
Real-time Analytics and Data Visualization Platform
The Scalefocus team built an innovative solution, which accurately visualizes tons of data and insights in an easily digestible manner through modern technology stack frameworks. The software enabled our client and its end-users to make fast and accurate predictions over real-time data, improving data quality, business decision-making, and flexibility while bringing down the operational costs.
Improved Accuracy and Data Quality
Our client is a leading provider of market insights and business intelligence to global commodity and energy markets. The company offers valuable data across the commodity and energy spectrum – power, oil, natural gas, petrochemical, and Natural gas liquids (NGL), agriculture, biofuels, and maritime freight markets. Its end-customers are global commodity and energy trading hedge funds, banks, producers, marketers, and many government entities.
Our software solution provided powerful tool for conversion and visualization of large amounts of data. The team implemented application programming interfaces, 2 portals, WebShell, Data Feed Service, RT to support and optimize the platform’s dashboard data analysis and visualizations (.NET based solution).
The centralized database serves as a metadata repository for numerous source systems with embedded aggregation functions, filters, and various data transformations. It validates data on multiple levels with established data cleaning policies according to business rules and data formatting enhancements.
Scalefocus was involved from day one into the entire solution development lifecycle – from requirements gathering to production delivery. Our teams performed simultaneously development of new functionalities as well as fixes of old bugs. Completed on time and meeting the high expectations for quality and functionalities set in the beginning, the project resulted in 4-year-long partnership with Scalefocus for front-end and advanced data services.
The scalable and reliable solution enabled end-users to make swift and informed business decisions from the stories the data tell, draw insights and understand trends, which resulted in higher customer satisfaction and productivity.
Improved accuracy and quality throughout optimization;
Improved productivity and efficiency of the systems;
Reduced operational costs;
Easy maintenance and support of the platform;
Fast predictions based on real-time data;
Performance optimization and easily digestible end-user experience through modern tech stack frameworks.