Whitepaper: How to Use JD Edwards Operations Data for Treasury & Efficiency Analysis
Posted by Niamh Vaughan
This article describes some practical examples on how you can use JD Edwards data to set up and support your treasury activities.
Treasury and supply chain operations complement each other. Treasury involves turning supply chain data from ERP systems into valuable financial information. Typical treasury activities like liquidity forecasting and cash flow can contribute to optimisation of working capital and cash on hand balances. If your organisation is a multinational or a small or medium-sized company, working capital management impacts the P2P and O2C process within your organisation.
So, what kind of ERP data can you use for treasury and how can you structure these data to support your treasury activities?
Treasury has increasingly become an important role in manufacturing, trading and distribution companies. Treasury departments use data from bank applications and data from ERP applications like JD Edwards. This article describes some practical examples on how you can use JD Edwards data to set up and support your treasury activities. Cadran has prebuilt solutions on both Oracle BI EE (on premise) and on Oracle BI Cloud (BICS) that can expose the data from the JD Edwards database. This can be an accelerate to quick start any treasury reporting requirements and create actionable intelligence using KPIs and alerts. These can help you act in and on time. The pre-built solutions range from Inventory, Manufacturing, Sales, Procurement and Commodity Trading up to Finance. Data are available real-time.
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