In today’s volatile commodity markets, real-time insights and data-driven decision-making are essential. Yet, many trading, risk and procurement teams struggle with fragmented data systems, siloed tools and endless spreadsheets. The solution? A high-performance data lake paired with a structured data warehouse, but only if it's done right.
RadarRadar’s latest white paper: "How to Build a High-Performance Data Lake for Commodity Trading and Risk (Without Creating a Data Swamp)" explores exactly how to implement this transformation without falling into the common trap: building a complex, unusable data swamp.
What you will learn:
- How to calculate setup and maintenance costs building a data lake
- How to unify front, middle, and back office data with RadarRadar’s Engine.
- Real-world ROI stats showing up to 92% savings vs in-house builds.
- How normalized, consolidated data improves risk, margin and compliance reporting
- Real-world case studies from leaders in the commodity trading space