Eka Software Announces Strategic Alliance with Thomson Reuters
Eka’s Commodity Analytics Cloud solution integrates Thomson Reuters high-quality data feeds to enable better commodity management decisions.
Eka Software Solutions, the leading global provider of Smart Commodity Management software solutions, today announced its strategic alliance with Thomson Reuters, the world’s leading source of intelligent news and information for professional markets. Thomson Reuters commodities data feeds are pre-integrated into Eka’s Commodity Analytics Cloud solution, providing comprehensive, accurate data on commodities pricing, including exchange traded commodities, commodity futures, spot information, and the latest market leading news impacting commodities markets.
Thomson Reuters provides professionals with the intelligence, technology, and human expertise they need to find trusted answers. It enables professionals in financial markets, risk, legal, tax and accounting, energy, agriculture, and metals to make the decisions that matter most, all powered by the world’s most trusted news organization. Thomson Reuters market-leading commodities content includes end-of-day and historical prices from all the major commodities exchanges around the world; research and analysis, including weather, commodity trade flows, and supply and demand forecasts; and fundamentals data, a consolidated set of current and historical commodities data as well as forecasts that provide in-depth insight into both the physical and futures markets.
“Eka’s Commodity Analytics Cloud analyzes large volumes of data from throughout the value chain to answer our customers’ most important questions,” said Aftab Pasha, director of product strategy and global partnerships at Eka. “Having access to the right data at the right time is key to good decision making. Thomson Reuters data is pre-integrated into Eka’s systems so the information is always available when our customers need it. Commodity Analytics Cloud combines Thomson Reuters market leading commodities insight with additional information sources such as CTRM and ETRM software, CRM, ERP, IoT sensors, and more, and uses machine learning algorithms to analyze all of the data to enable better, fact-based decisions.”
“Integrating our market data into Eka’s Commodity Analytics Cloud further demonstrates our commitment to connect the global financial community in order to enable better informed decisions,” said Leigh Henson, global head of commodities, customer and supply chain risk at Thomson Reuters. “Eka’s commitment to delivering smart value chains using analytics ensures that its customers will get the most value from our content.”
Eka’s analytics-driven, end-to-end commodity management platform enables companies to efficiently and profitably meet the challenges of complex and volatile markets. Eka’s Commodity Analytics Cloud analyzes large volumes of data from disparate sources – ETRM, CTRM, ERP, CRM, spreadsheets, and the Internet of Things (IoT) sensors plus external sources such as market curves and weather data – to enable commodity market participants to make better, fact-based decisions. Commodity Analytics Cloud enables commodity market participants to accelerate growth, increase profitability, improve operational control, and manage risks and exposures.
About Eka Software Solutions
Eka is the global leader in providing Smart Commodity Management software solutions. Eka’s analytics-driven, end-to-end Commodity Management platform enables companies to efficiently and profitably meet the challenges of complex and volatile markets.
The company’s best-of-breed solutions manage commodity trading, enterprise risk, compliance, procurement, supply chain, operations, logistics, bulk handling, processing, and decision support. Eka partners with customers to accelerate growth, increase profitability, improve operational control, and manage risks and exposures.
Eka is a team of 315 staff with offices in the Americas, Asia, Australia, and EMEA, serving a rapidly growing global client base across multiple commodity segments.