Self-Service Model Calculation Platform

The Challenge

The Challenge

As most energy trading organizations, our client has realized that data is increasingly important to obtain a competitive edge towards the competition in a high-paced and liquid market. ROITI was approached to help with the integration of both structured and non-structured data into a single, high-availability platform, which is easy to use by the business departments without extensive IT support. We have supported the client in every part of the development and operational lifecycle – design, develop, test and subsequent maintenance and continuous improvement.

The Approach

The Approach

The project was kicked off by setting the key design principles, centred around the idea of a PaaS, where language-agnostic scripts can be executed, and different business needs, and tools for model calculations and reporting can be easily integrated. To make the platform future-proof the data was stored to be AI-ready for machine learning both for stream and batch processing. The flexibility and extendibility of the platform was ensured by a microservices, cloud-native architecture. The data feeds were optimized for Power BI reporting, which is used as a visualization tool company wide.

The Impact

The Impact

The standardization of the data model and the centralization of the data have significantly reduced the effort of all subsequent data driven projects. Data is now re-usable throughout the company which has reduced redundancy and costs. The PaaS model means no more hardware and OS maintenance effort. With the integrated devops procedures, deployment of new models and version upgrade is now a matter of minutes. Pricing strategies and portfolio impacts can be tested faster, with more variables enabled for simulations.

Optimized solutions for every case

Contact us and learn how we can help