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.
Business process engineering and data organisation,
How should large financial institutions attribute profit and loss (P&L) and how does this map to your organisation?
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Business process engineering and data organisation,
James Clash explores the shift from strategic technology-tied projects to a focus on organisational agility.
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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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Business process engineering and data organisation,
Design rules for workflow, operating models, architectures are very effective at building consensus and are becoming increasingly useful tools. Here we…
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Quantitative algorithmic and financial engineering, Business process engineering and data organisation, Technology re-platforming,
Model inventory as an enterprise enabler. ‘The aim is to help organisations lower cost while identifying and eliminating model risk throughout the lifecycle,…
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Business process engineering and data organisation, Data science,
The convergence of new businesses models, new technologies and new regulations are giving many capital markets firms the impetus they need to resolve structural…
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Business process engineering and data organisation, Data science,
Improvements to business process can deliver high-quality enterprise-wide data. The following five tests can improve your processes – the results of which could…
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Business process engineering and data organisation, Data science,
Our hypothesis is that bad data is a symptom of poor organisational design; by implication, the by-product of a well-designed organisation will be normalised…
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