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Fully automated FX hedging for a high-volume parts business

Automated hedging solution deployed in four months

A leading construction and mining equipment supplier in Southern Africa extended its fully automated SAP micro-hedging from equipment to its parts business.

Parts hedging fully automated on the existing SAP platform

100%

Automation of FX hedge cover layering to purchase order exposures

4 months

To deploy the new automated solution

1.5+ days

Reduction in month-end close

The challenge

Having set a standard for automated hedging of equipment, the client wanted the same for parts, where a lengthy manual bucket hedging approach was consuming treasury time.

  • Two separate SAP ECC instances for treasury and exposures
  • Hedge management dependent on spreadsheets, manual SAP extracts and a complex calculation
  • Reliance on a single person for a mission-critical, C-level visible process
  • A solution that had to withstand future ERP consolidation or upgrades

The solution

SkySparc proposed a QlikSense solution built on the client's existing Teradata warehouse and extraction layer.

  • FX hedges, market data and parts purchase orders extracted from two SAP ECC environments
  • A systems-agnostic data model in Teradata, protecting against future ERP changes
  • An automated Parts Hedging Cockpit in QlikSense layering FX cover against exposures
  • QlikSense infrastructure set up in Azure
  • Reporting on hedge reserves and gains and losses
  • Automated end-to-end testing using TestRail

The result

FX hedge cover is now fully automated against purchase order exposures, removing two FTE of manual effort.

  • 100% automation of FX hedge cover layering to purchase order exposures
  • Deployed in four months
  • More than 1.5 working days removed from month-end close
  • Outperformance on hedge reserves and gains and losses compared with previous outcomes
  • New analytical views for the CFO

Quick facts
  • Automated parts hedging on SAP Treasury and Hedge Management
  • QlikSense cockpit on the existing Teradata warehouse, hosted in Azure
  • Deployed in four months
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