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Brady credit risk solution

As we continue to deal with the global coronavirus pandemic, there is increased pressure on supply chains and the credit teams to monitor counterparty credit risk more effectively.  Real-time credit risk analysis is essential for risk teams to be able to implement mitigation strategies quickly.   However, to achieve this, the underlying technology supporting current credit risk processes needs to be re-evaluated.

In the latest blog from Brady Technologies
(, it puts forward the reasons why deploying modern technology and incorporating the latest in data streaming concepts gives faster, more accurate insight to mitigate risk and protect profits.

“Even today, many decision-support applications used by energy and commodity trading firms around are still based on legacy Online Analytical Processing (OLAP) technology.  For example, creating pivot tables in excel, where different data sets are combined and aggregated, are still administered via OLAP.  Over recent years, there has been greater demand from credit and risk teams to be able to analyse data in more depth and more frequently.  This has placed increasing pressure on IT teams to evaluate more modern technology such as Massively Parallel Processing to fulfil these demands.”

“Fast forward to 2021, advances in data streaming technology is dramatically changing the credit risk space.  Having access to large amounts of live information quickly enables energy and commodity trading businesses to manage risk proactively rather than reactively.  Receiving business critical information in real-time supports smarter decisions and drives effective collaboration between front office and mid office risk teams.”

The full blog can be found at
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