The need for highly efficient IT and data architecture to manage the commodity value chain
In my previous blogposts Global insight is key to remain competitive in Commodity Trading & Do commodity traders have the information the need to tackle the ever increasing complexity? I argued that the changing role of commodity traders and the ever increasing complexity of the commodity value chain requires highly efficient IT and data architecture to manage this supply chain and gain competitive advantage.
In this blog I will provide an overview of Cadran’s integrated ERP & CTRM solution, as recently implemented with a large dairy trader in the Netherlands. And show that this solution provides the required tools for commodity traders to manage the complexity of their value chain.
Covering the full supply chain from contract-to-cash
As highlighted in the previous blogs, a commodity trader manages the value chain from contract to cash, monitoring and securing profitability. In order to support the value chain, an integrated IT solution is needed that covers that same chain. Functionality should be included such as trade capture, M2M valuations, logistics service, manufacturing, planning supply and demand and AR/AP. Our ERP solution for Commodity Traders provides an integrated platform that facilitates exactly these areas.
Besides complete management of the value chain, an integration of a market-leading ERP system with proven commodity trading functionality offers more advantages:
- Transparent reconciliation between Trading and Financial P&L
- Risk mitigation by avoiding manual data enrichment or complex interfacing
- Reducing operational costs using centralized, automated and standardized operational processes
- Profitability calculation on contract-level during the complete lifecycle of the trade.
Integration with Oracle BI
The ability to cover and manage the full value chain for commodity trading with Cadran’s CTRM solution opens a next opportunity: the integration with Oracle BI. Using the normalized and centralized data entities from the ERP & CTRM system with the integrated technology of Oracle BI and JD Edwards delivers a unique platform to rapidly transform data into steering and action driven information.
R. Brobbel: Business Intelligence – Word nou toch eens eindelijk een keer volwassen (in Dutch)
Our experience with implementations of Arantys shows that a substantial part of the added value can be unlocked by using BI for JD Edwards. Using BI capabilities allows commodity traders to create prescriptive analytics showing the likely outcome of decisions and effects on profitability instead of simply accessing historical data and presenting it as a “static report”.
Contract versus physical delivery: finding the best match
As described in my previous blogs, suppliers tend to use more and more options in (long-term) supply contracts where customers are getting more demanding concerning quality, specification and services for specific deliveries. This leads to complex logistics decisions in the area of allocation and transportation with direct impact on profitability of transactions.
Arantys has proven to provide the flexibility and “loose coupling” between contracts and physical delivery to allow logistics to select and provide the best match for each sales delivery taking in account the contract boundaries versus customer demand. Providing enhanced planning and allocation functionality for logistics services Arantys allows the commodity trader to manage and optimize its value chain during execution and delivery.
Arantys provides a robust and advanced commodity trading platform for trading businesses. The capabilities of the solution combined with the integration of ERP and BI delivers a highly efficient IT and data architecture providing:
- Insight into Position, Value, Profit and Risk from contract-to-cash
- Tactical decision support using BI for prescriptive analytics
- Reduction of operational risk and increasing financial transparency allowing traders to optimize their profit.
This blog is a third part in a trilogy on main changes in commodity trading, supply chain development and the relation to required IT and data architecture.
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Author: Arjan Meijdam