Data and analytics firm of the year: LSEG Data & Analytics
Energy Risk Awards 2025: Firm’s vast datasets and unique analytics deliver actionable insights into energy transition trends
Energy market participants are facing unprecedented uncertainty from ongoing geopolitical tensions, extreme weather events and policy shifts on the energy transition.
With so many fast-paced world events shaping energy markets, extracting actionable insights from vast amounts of unstructured data presents a significant challenge.
Step forward LSEG Data & Analytics, a data, analytics and research firm that provides unmatched, comprehensive coverage of around 190 global commodities markets including carbon, gas, liquefied natural gas, hydrogen, coal, power, metals, oil and agricultural commodities.
“Our data offering is designed to capture the interconnectivity of different markets, integrating supply, demand, pricing and geopolitical factors that influence the energy transition,” says Andrew Toumazi, head of commodities at LSEG. “By focusing on how these segments interact, we provide clients with a unique and holistic view of market interactions, supporting them in identifying key trends and enabling better decision-making in the context of the energy transition.”
Over the past year, the firm – winner of Energy Risk’s 2025 Data and analytics firm of the year – has added new data sources, expanded into new market coverage, upgraded its technology and grown its customer base, which now comprises 40,000 customers and 400,000 end users.
Its data is sourced through a combination of proprietary research, real-time market data, and a huge array of external sources. “For example, our analysts integrate high-frequency data from transmission system operators, satellite imagery, web scraping tools with machine learning algorithms,” says Maria Kovalenko, head of commodities content operations. “Our power, gas and weather analytics leverage advanced in-house built forecasting models, while our carbon market insights are informed by rigorous geopolitical and regulatory tracking.”
The firm’s analytics offering combines advanced modelling techniques with expert market insights. “Harnessing the power of advanced machine learning algorithms, dynamic linear programming models, and real-time data intelligence, we generate precision-driven supply-demand forecasts, predictive price trajectories, and comprehensive risk assessments, empowering smarter, faster decision-making,” says Toumazi.
A crucial element of LSEG Data & Analytics’ work is sitting down with clients to understand their business and the insights they need, in order to deliver customised analytical products that integrate with their workflows. This includes tailored dashboards, API access, and ad hoc reports. Analytics support a wide range of trading strategies, helping clients optimise their market positions and navigate complex commodity markets effectively.
The firm’s data and analytics are delivered through LSEG’s ‘Workspace’ platform. Workspace offers customisable dashboards, data visualization tools and API access for integration into client workflows, enabling clients to explore supply and demand fundamentals, real-time pricing, or geopolitical analysis.
Some of the many products and tools on offer include a dashboard view of daily pipeline flows of US gas, a detailed analysis of global hydrogen road maps, and detailed analytics on the impact of the long-term energy transition on the European power market. LSEG also provides daily, weekly, and quarterly reports, as well as ad hoc insights in response to market developments.
With research teams across the globe, LSEG Data & Analytics dives into regional market dynamics as well as taking a truly global perspective.
Over the past year, the firm has enhanced its offering by expanding its proprietary datasets and refining its predictive models. “For example, we have introduced automated translations of Urgent Market Messages into time-series forecasts for core gas suppliers which improve real-time insights,” says Marina Tsygankova, director, gas and LNG research. It also introduced AI-enhanced predictive analytics, adding greater precision to market forecasts.
“Our medium and long-term price models for the power market incorporate hourly granularity out to 2035, offering unparalleled risk assessment and understanding of the increasing volatility in the electricity world,” says Kovalenko.
Additionally, it upgraded its gas analytics with automated anomaly detection to provide more accurate demand and storage forecasts.
“These advancements set us apart from competitors by delivering more detailed, forward-looking insights, allowing our clients to stay ahead of market shifts with confidence,” she says.
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