Dataciders ROITI is a consulting company helping energy companies turn complex systems into clear, data-driven solutions. As part of Dataciders, we combine deep energy-market expertise with advanced data and AI capabilities.
End-to-end Endur expertise across every version, every workflow, every market.
Machine learning and AI built for energy trading — not adapted from somewhere else.
Cloud-native applications and infrastructure built for trading-grade reliability.
Performant, maintainable web applications — from trading dashboards to cloud-native platform UIs.
Building and maintaining the processes that deliver business-critical data to power downstream analytics.
Data warehouses, dashboards, and reporting that reflects your positions — built by engineers who understand data structures, calculation complexity, and the performance demands of front-to-back office reporting.
Business analysis, project management, and product ownership for complex energy IT programmes.
Keeping your trading systems performant – so you can focus on trading.
13 years into ROITI’s history, an era is starting to end. Dataciders acquired us back in 2024, so the deal itself isn’t the news. With the mid-term target to present…
How much better is a heavily optimised predictive model vs a standard one? And how much can that difference actually reduce costs?…
You may have gotten a whiff of the fact that the war in Iran impacted energy markets. Oil and gas prices have…
Our client provides electricity to a large industrial facility in Germany with a peculiar load profile (Fig 1) . The consumption can fluctuate between a couple of MW to more than 100 MW in the span of a couple of quarter-hours. Since our client needs to nominate the consumption on the day-ahead market they need a good forecast of the load profile…
The Challenge The client has been running an outdated Endur version, with many crucial business processes customized or disintegrated within a defragmented IT landscape. The client’s management made…
The Challenge The specific business model of the client required a ETRM system which can handle portfolio management, trading and trading-related services of multiple tenants with full separation…
The Challenge The client was using several market data providers and wanted to store the data into a unified format which is provided to different internal consumers as…
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