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Operational risk and safety analytics

In driving towards zero harm, organisations need to make priority calls about the allocation of finite health and safety budgets.

The objective of health and safety analytics is to identify the factors that are most highly correlated with incidents. In order to achieve this, analysis can be conducted at multiple levels to identify the regions, divisions, sites, processes, shifts or employees most exposed to high-risk factors. This fact-based evidence is then used to allocate funds with the aim of mitigating the factors which correlate with incidents. The greater the delta between the highest and lowest risk segments, the greater the potential benefit from re-allocation of resources.

In our experience, advanced analytics has been able to identify high risk segments that are 44 times more likely to have a safety incident than a low risk segment.

On film

Spotting patterns in data can pre-empt an incident before it occurs. Deloitte's David Blackwell introduces how organisations can better harness their data to predict outcomes.  

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Analysis combines statistical modelling techniques such as Self Organising Maps (SOMs) with textual analysis of incident logs or link analysis between incidents and individuals. This analysis can then be applied by organisations into their day-to-day HSE strategy and operations, helping to focus resources in an efficient and effective manner.

A typical initial Proof of Concept project runs over 8-12 weeks, resulting in a set of tangible recommendations and a business case for ongoing investment in HSE analytics.

Operational risk and safety analytics

Why Deloitte?  

We have worked with a number of clients in the resources, retail and airline sectors - helping them to develop HSE strategies which are tailored to the particular risks within their organisation.

Our health and safety analytics offering helps organisations to make fact-based prioritisation decisions, by identifying the factors which are most highly correlated with incidents.

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