Global agricultural company gains better visibility into P&L position with Eka CTRM

A leading global agricultural company was struggling to accurately predict the changes in its P&L position. Eka’s analytics app helped them aggregate and analyze data from disparate systems automatically, without user-intensive manual processes.

Read this case study to learn why they chose Eka

• They reduced P&L attribution time from a 20-man-day workflow to a 15-minute automated process, freeing analysts to work on high value projects
• They can analyze data with user-specific validations, and provide a single accurate picture of the truth quickly and more accurately
• They can consider standard buckets like market movement and new trades and attributes executions