From firefighting to flow
We consider how organisations can improve how work flows through services, removing the friction that quietly absorbs capacity.
Read moreIn this paper, Jim Fox CISM and Neil E Wiles discuss the use of data analysis to improve training quality and efficiency, highlighting the strategic significance of data, its modern collection methods, and the maximisation of its utility.
The paper highlights the benefits of task synchronisation and resource optimisation in multi-role, multi-site training and emphasises the necessity of continuous improvement in data policies, standards, and architectures to enhance training and simulation. The paper also discusses the importance of linking training and operational data, managing persistent and human performance data, and exploiting physiological biometrics data.
Its conclusion suggests adopting common data standards, protocols, and architectures, and implementing clear policies and guidelines. While exploiting training and operational data can provide an operational advantage, it’s crucial to protect the rights and interests of military forces and stakeholders. This includes data minimisation, encryption, authentication, auditing, backup, governance, and education, along with the ethical use of data management and analytics.
We consider how organisations can improve how work flows through services, removing the friction that quietly absorbs capacity.
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Improve public sector productivity with better visibility, simpler workflows, automation and AI to release capacity and strengthen service delivery.
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Automation can accelerate productivity, but only when it’s embedded within stable, well understood services, not introduced as a standalone initiative.
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Across public services, understanding what it costs to deliver a service end to end is one of the most important steps to sustained productivity improvement.
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