CubeLogic Wins "Highly Commended Technology House of the Year 2012" Award from Energy Risk Magazine

New York - 21 June 2012

The combination of CubeLogic’s technology, architecture, and innovative use of Business Intelligence tools has earned it the prestigious award

CubeLogic LLC (CubeLogic), a leading provider of advanced risk management solutions to the finance and commodities sectors, announced today that Energy Risk Magazine selected CubeLogic as “2012 Highly Commended Technology House of the Year.”

Founded in 2009 CubeLogic has several 'blue chip' clients including Mercuria, Centrica, EoN, Gazprom and EDF Trading. CubeLogic has rapidly become a market leader. On June 9th, OpenLink announced their intention to acquire CubeLogic, the transaction is expected to be completed during OpenLink’s fiscal third quarter, and is subject to customary closing conditions.

The combination of CubeLogic’s technology, architecture, and innovative use of Business Intelligence tools are incorporated into their seven separately priced components (“the Cubes”) that can be combined in a number of ways to aggregate, analyze and report across enterprise data source system components. Components include:

  • Reference Data Management to capture and maintain all key risk related reference data
  • Workflow for full business process modelling
  • Credit Risk for exposure and limit management, historical trend analysis and OTC margining
  • Position Analysis and Market Risk for aggregating positions and P&L across multple trading systems
  • TradeFlow, a trader analysis tool for logistics and global shipping of commodities
  • Financial Analysis for internal scorecard and rating analysis
  • Analytics Cube for reporting of market and credit risk simulations for PFE and VaR

With the following new products under development:

  • Treasury Cube for general ledger and cashflow analysis
  • Corporate Cube for aggregated reporting of group risks

David Priestley, co-Founder of CubeLogic, commented: “This commendation from EnergyRisk comes on the back of a huge upsurge of interest in using Business Intelligence tools to solve the complex ‘Big Data’ issues that challenge risk managers in Financial, Energy and Commodities trading.”

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