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Nigel is recognised globally as a leading practitioner of service focused and componentised platforms applied to federated businesses and public sector agencies. His insights are based on over practical experience of transportation and logistics with blue-chip companies and the conception of information services highly federated business environments.
In the recent past, Nigel has specialised in event-based business process management platforms and advanced distributed intelligence solutions such as agent-based multi-channel processing platforms. He has held senior positions held within end-user organisations such as Hertz, DHL, Hutchison Whampoa and within the IT services industry Computer Sciences Corporation and, since 2005, Capgemini UK.
Nigel is a member of Capgemini UK’s Technology Leadership team and in this capacity, advises both Capgemini and clients globally on the business impact of technology trends.
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Presentation
Lost in Translation - Multiple Lenses in Business Analysis
Many of us can recall a time when a distinction was made between the hardware and software supporting the business and the information used by the business – there was a clear difference bbetween IT, to describe the former, and IS to describe the latter. This distinction is all but lost and along with it, the art of non-technical, people-focused and outcome-driven, Business Analysis.
What's needed is a business-natural language that moves the focus away from any technologies and towards business behaviour – as expressed iin values, policies, real world events and any type of information being exchanged. Such a language helps focus discussion on the key outcome-affecting aspects rather than functional detail. An example of such a language is called VPEC-T (also known as The 5D Lenses), after its five dimensions: Values, Policies, Events, Content and Trust. It provides a simple and quick way expressing requirements that feeds and augments existing methods.
This session will explain how and why VPEC-T was developed and examples on how requirements analysis benefits from this approach.
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