Research

Our research develops practical insights and tools that apply our expertise and technology to prevailing industry challenges. We hope this is useful, and please reach out to us if you would like to explore these topics any further.

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Cloud engineering,

The financial industry has been cautious when moving functionality to the cloud, despite the obvious benefits. This is not surprising given how sensitive the…

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Cloud engineering, Business process engineering and data organisation,

Regulators may demand operational risk oversight of cloud operators to satisfy cyber risk concerns.

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Cloud engineering, Data science,

Clients with a continuous, large stream of data coming in that needs to be processed really quickly and must always be up – regardless of hardware reliability…

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Cloud engineering, Technology re-platforming, Data science,

The open source big data processing framework Apache Spark has become the one-size-fits-all solution for big data and big calc problems. Chris Sawyer offers an…

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Cloud engineering, Business process engineering and data organisation, Data science,

Big data is not a solution in itself; it’s a process accelerator – as is the case with most technologies.

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Quantitative algorithmic and financial engineering, Cloud engineering, Business process engineering and data organisation,

Models are evolving from a cottage industry ecosystem into a large scale production line, where regulatory compliance and time-to-market for new models is the…

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