Case Study

Agricultural Commodity Trader

Agricultural Commodity Trader

Pages 4 Pages

Agricultural Commodity Trader | 2016 ZE PowerGroup Inc. All rights reserved. www.ze.com 3 2 Base Requirements: • Pricing data spanning a wide range of products – Agricultural commodities from ICE, NYMEX, CBOT, Bloomberg, currencies, weather, credit ratings and others, with the ability to expand easily to include more global diversified commodities and data sources. • Support for multiple data inputs – data from 20+ providers with over 100 data feeds, including multiple internal data sources. • Integration methods with downstream systems including KCL, AGRIS, FI and Symphony, along with internally built systems such as Bruno. • Ability to support 20+ users simultaneously and provide training so that quick and easy adoption of ZEMA into the current processes could take place. •

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